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What Is a Measurement Microphone? Complete Guide to Types, Selection & Applications

A measurement microphone is not just any microphone — it is a precision acoustic sensor designed for traceable, repeatable sound pressure measurement. This guide covers how they work, the different types available, key specifications to compare, and how to select the right one for your application. What Is a Measurement Microphone? A measurement microphone is a high-precision acoustic transducer engineered to convert sound pressure into an electrical signal with known accuracy. Unlike studio or consumer microphones that are designed to make audio "sound good," a measurement microphone is designed to be truthful — its output must faithfully represent the actual sound pressure at the measurement point. The defining characteristics of a measurement microphone include: Known, stable sensitivity (expressed in mV/Pa) that can be traced to national or international standards Flat, well-characterized frequency response under defined sound-field conditions Wide dynamic range with low distortion from noise floor to maximum SPL Traceable calibration using pistonphones or acoustic calibrators Environmental stability — minimal drift due to temperature, humidity, and atmospheric pressure changes In practical terms, a measurement microphone is the front-end sensor of a metrology-grade measurement chain. Every specification — from the data acquisition system to the analysis software — depends on the microphone providing an accurate representation of the acoustic environment. For a deeper comparison between measurement and regular microphones, see our article: Differences Between Measurement Microphones and Regular Microphones. How Measurement Microphones Work The Condenser Principle How a condenser measurement microphone converts sound pressure into an electrical signal Nearly all measurement microphones are condenser (capacitor) microphones. The core transduction mechanism is simple but elegant: A thin metallic diaphragm is stretched in front of a rigid backplate, separated by a small air gap The diaphragm and backplate form a capacitor When sound pressure deflects the diaphragm, the gap changes, altering the capacitance With a constant charge on the capacitor, the capacitance change produces a proportional voltage change This voltage change is the microphone's output signal. A preamplifier, typically located immediately behind the capsule, converts the high-impedance signal from the capacitor into a low-impedance signal that can travel through cables to the data acquisition system. Polarization: External vs. Prepolarized Externally polarized (left) vs. prepolarized electret (right) microphone types The condenser principle requires a polarization voltage to maintain a charge on the capacitor. There are two approaches: Externally polarized microphones receive their polarization voltage (typically 200V) from an external power supply through the preamplifier. These microphones are considered the gold standard for the highest-accuracy laboratory measurements because:- The polarization voltage is stable and well-defined- No aging effects from the polarization source- Best long-term stability Prepolarized (electret) microphones use a permanently charged PTFE (Teflon) layer on the backplate to maintain polarization. Advantages include:- No external polarization supply needed — simplifies the signal chain- More resistant to humidity (no risk of charge leakage at high humidity)- Better suited for field measurements and harsh environments- Modern prepolarized microphones achieve accuracy comparable to externally polarized models FeatureExternally PolarizedPrepolarizedPolarization sourceExternal 200V supplyBuilt-in electret layerBest forLab/reference measurementsField and industrial useHumidity toleranceSensitive above ~90% RHExcellent, even in high humidityLong-term stabilityExcellentVery good (modern designs)Signal chainRequires compatible power supplyWorks with standard IEPE/ICP preamplifiers The Preamplifier The preamplifier is a critical but often overlooked component. It serves two functions: Impedance conversion: Transforms the microphone's extremely high output impedance (~GΩ) into a low impedance suitable for cable transmission Signal conditioning: Provides the power for IEPE/ICP operation or the polarization voltage for externally polarized capsules A matched microphone-preamplifier set ensures optimal performance. This is why measurement microphones are often sold as complete sets with a matched preamplifier — the combined system is calibrated and characterized as a unit. Types of Measurement Microphones Measurement microphones are classified along two primary axes: sound-field type and physical size. By Sound-Field Type The choice of microphone type depends on the acoustic environment where measurements will be taken. Free-Field Microphones A free-field microphone is designed to measure sound arriving from a single direction in an environment free of reflections (such as an anechoic chamber or outdoors). The microphone's frequency response is compensated for the acoustic diffraction effects caused by its own physical presence in the sound field. When to use: Outdoor measurements, anechoic chamber testing, source identification, environmental noise monitoring, any scenario where sound arrives predominantly from one direction. Orientation: Point the microphone directly at the sound source (0° incidence). Pressure-Field Microphones A pressure-field microphone measures the actual sound pressure at a surface or in a sealed cavity. It has the flattest possible response when the sound field is uniform across the diaphragm — which occurs in small cavities, couplers, or at surfaces where the microphone is flush-mounted. When to use: Coupler measurements (headphone and earphone testing), hearing aid testing, measurements in small cavities, flush-mounted surface measurements, acoustic impedance measurements. Orientation: The microphone diaphragm is placed at or within the measurement surface. Random-Incidence Microphones A random-incidence (diffuse-field) microphone is optimized for environments where sound arrives from all directions simultaneously — such as reverberant rooms. Its frequency response is a weighted average of responses at all angles of incidence. When to use: Reverberation chamber measurements, environmental noise in reflective spaces, any situation where sound arrives from multiple directions. Microphone TypeSound FieldTypical ApplicationOrientationFree-fieldSound from one directionOutdoor noise, anechoic testing, source IDPoint at sourcePressure-fieldUniform pressure (cavity)Coupler testing, headphones, hearing aidsFlush with surfaceRandom-incidenceSound from all directionsReverberant rooms, diffuse environmentsAny orientation Three microphone types for different acoustic environments: free-field, pressure-field, and random-incidence By Physical Size Measurement microphone capsules come in three standard sizes, each with distinct trade-offs: 1-Inch Microphones The largest standard size. High sensitivity and low noise floor make them ideal for measuring very quiet environments. Sensitivity: ~50 mV/Pa (highest) Frequency range: Up to ~8–16 kHz Best for: Low-frequency and low-level measurements, environmental noise monitoring, building acoustics Limitation: Large size limits upper frequency range due to diffraction effects 1/2-Inch Microphones The most widely used size. Offers a good balance between sensitivity, frequency range, and physical size. Sensitivity: ~12.5–50 mV/Pa Frequency range: Up to 20–40 kHz Best for: General-purpose acoustic measurements, NVH testing, product R&D, sound level meters Why it's popular: Versatile enough for most applications; fits standard sound level meter bodies 1/4-Inch Microphones The smallest standard size. Low sensitivity but the widest frequency range. Sensitivity: ~1.6–16 mV/Pa Frequency range: Up to 40–100 kHz Best for: High-frequency measurements, ultrasonic applications, small coupler measurements, acoustic array elements Trade-off: Higher noise floor requires louder sound sources for accurate measurement Size comparison: 1-inch (CRY3101), 1/2-inch (CRY3203), and 1/4-inch (CRY3401) measurement microphone capsules SizeSensitivity (typical)Frequency RangeDynamic RangeBest For1 inch50 mV/Pa4 Hz – 16 kHz15–146 dBALow-frequency, quiet environments1/2 inch12.5–50 mV/Pa3 Hz – 40 kHz16–164 dBAGeneral-purpose, NVH, SLM1/4 inch1.6–16 mV/Pa4 Hz – 100 kHz32–174 dBAHigh-frequency, ultrasonic, arrays Key Specifications Explained When comparing measurement microphones, these specifications matter most: Sensitivity Sensitivity defines how much electrical output the microphone produces for a given sound pressure. Expressed in mV/Pa (millivolts per Pascal) or dB re 1V/Pa. Higher sensitivity = better signal-to-noise ratio at low sound levels Lower sensitivity = higher maximum SPL before distortion There is always a trade-off between sensitivity and maximum SPL Frequency Response The frequency range over which the microphone provides accurate measurements, typically specified within ±2 dB or ±1 dB. The useful range depends on:- Microphone size (smaller = wider range)- Sound-field type (free-field compensation extends the useful range)- Mounting configuration Dynamic Range The span between the lowest measurable level (noise floor) and the highest level before a specified distortion threshold (typically 3% THD). A wider dynamic range means the microphone can handle a greater variety of measurement scenarios. Self-Noise (Equivalent Noise Level) The inherent electrical noise of the microphone, expressed as an equivalent sound pressure level in dBA. Lower is better — critical for measuring quiet environments. 1-inch microphones: ~15–18 dBA (quietest) 1/2-inch microphones: ~16–28 dBA 1/4-inch microphones: ~32–46 dBA Stability and Temperature Coefficient Long-term sensitivity drift and sensitivity change with temperature. Important for:- Permanent monitoring installations (fixed outdoor microphones)- Measurements in extreme environments (engine test cells, climatic chambers)- Ensuring measurement results are comparable over months or years IEC Standards Compliance Measurement microphones are classified according to IEC 61094 series:- IEC 61094-1: Primary calibration by reciprocity method- IEC 61094-4: Specifications for working standard microphones (laboratory use)- IEC 61094-5: Working standard microphones for in-situ (field) use Sound level meters incorporating measurement microphones must comply with:- IEC 61672-1: Class 1 (precision) or Class 2 (general purpose) How to Choose the Right Measurement Microphone How to select the right measurement microphone for your application Step 1: Identify Your Sound Field Your Measurement ScenarioRecommended TypeOutdoor environmental noiseFree-fieldAnechoic chamber testingFree-fieldHeadphone/earphone couplerPressure-fieldHearing aid testingPressure-fieldReverberant roomRandom-incidenceSurface-mounted on a machinePressure-fieldGeneral factory noiseFree-field or random-incidence Step 2: Determine Required Frequency Range ApplicationMinimum Frequency RangeBuilding acoustics20 Hz – 8 kHzEnvironmental noise20 Hz – 12.5 kHzGeneral acoustic testing20 Hz – 20 kHzNVH (automotive)20 Hz – 20 kHzElectroacoustic product testing20 Hz – 40 kHzUltrasonic measurements20 Hz – 100 kHz Step 3: Match the Dynamic Range to Your Environment Quiet environments (recording studios, anechoic chambers): Choose high-sensitivity microphones (50 mV/Pa, 1/2" or 1") with low self-noise Industrial environments (factory floors, engine test cells): Choose lower-sensitivity microphones (4–12.5 mV/Pa, 1/4" or 1/2") with high maximum SPL Wide-range applications: Choose microphones with the widest dynamic range available Step 4: Consider Environmental Conditions High humidity or outdoor use: Prepolarized microphones are recommended Extreme temperatures: Check the microphone's operating temperature range and temperature coefficient Dusty or wet environments: Look for IP-rated solutions (e.g., IP67 for NVH field testing) Hazardous areas: Check for ATEX/IECEx certification if required Step 5: Evaluate the Complete System A measurement microphone does not work alone. Consider:- Preamplifier compatibility: Matched sets ensure specified performance- Data acquisition system: Input impedance, voltage range, and sampling rate must match- Calibration infrastructure: Do you have access to a pistonphone or acoustic calibrator?- Software ecosystem: Can your analysis software import calibration data and apply corrections? Applications Electroacoustic Product Testing Testing loudspeakers, headphones, earphones, and hearing aids requires microphones that can accurately capture the device's frequency response, distortion, and directivity. Pressure-field microphones are used in couplers (IEC 60318 ear simulators), while free-field microphones are used in anechoic chambers. Automotive and Aerospace NVH NVH (Noise, Vibration, and Harshness) engineers use measurement microphones to characterize cabin noise, identify noise sources, evaluate sound packages, and perform transfer path analysis. Requirements include wide frequency range, high dynamic range, and robustness for field use. Environmental and Community Noise Monitoring Long-term outdoor noise monitoring stations require microphones with excellent stability over months or years, low temperature sensitivity, and tolerance to humidity, rain, and wind. Windscreens and weather protection accessories are essential. Production Line Quality Control In manufacturing, measurement microphones integrated into automated test systems verify that every loudspeaker, headphone, or microphone meets specifications before shipping. Speed, repeatability, and consistency are critical — the microphone must produce identical results across thousands of units per day. Building and Architectural Acoustics Measuring reverberation time, sound insulation, and HVAC noise requires accurate low-frequency performance and the ability to work in diffuse sound fields. Random-incidence microphones are often preferred. Acoustic Research and Standards Laboratories Primary and secondary calibration laboratories, standards organizations, and university research groups require the highest-accuracy microphones — typically externally polarized, laboratory-grade capsules calibrated by reciprocity methods. Sound Source Localization and Beamforming Microphone arrays used in acoustic cameras and beamforming systems require large numbers of measurement microphones with tightly matched sensitivity and phase response. 1/4-inch microphones are preferred for arrays due to their small size and wide frequency range. For more on acoustic imaging technology, see our guide on acoustic cameras. Noise Regulation Compliance Regulatory compliance measurements — workplace noise (ISO 9612), environmental noise (ISO 1996), product noise emission (ISO 3744/3745) — require Class 1 or Class 2 measurement microphones as specified in IEC 61672. Documentation of calibration traceability is mandatory for compliance reporting. CRYSOUND Measurement Microphone Solutions CRYSOUND's CRY3000 series measurement microphones cover the full range of sizes, field types, and applications — from laboratory reference measurements to rugged field testing. Complete Size Coverage: 1/4", 1/2", and 1" ModelSizeField TypeSensitivityFrequency RangeApplicationCRY3101-S011"Free-field50 mV/Pa4 Hz – 16 kHzLow-frequency, quiet environmentsCRY3203-S011/2"Free-field50 mV/Pa3.15 Hz – 20 kHzGeneral acoustic testingCRY3261-S021/2"Free-field450 mV/Pa10 Hz – 16 kHzUltra-high sensitivityCRY3201-S011/2"Free-field12.5 mV/Pa3.15 Hz – 40 kHzExtended high-frequencyCRY3401-S011/4"Free-field15.8 mV/Pa4 Hz – 40 kHzHigh-frequency testingCRY3403-S011/4"Free-field4 mV/Pa4 Hz – 90 kHzUltrasonic measurementsCRY3202-S011/2"Pressure12.5 mV/Pa3.15 Hz – 20 kHzCoupler and cavity testingCRY34021/4"Pressure1.6 mV/Pa4 Hz – 100 kHzHigh-frequency pressure fieldCRY3406-S011/4"Pressure15.8 mV/Pa4 Hz – 40 kHzLow-noise pressure field CRY3213: Purpose-Built for NVH The CRY3213 NVH Measurement Microphone is specifically designed for the demanding conditions of automotive and industrial NVH testing: IP67 protection: Fully dust-tight and submersible — operates reliably in engine bays, test tracks, and climatic chambers Extended temperature range: -50°C to 125°C, covering extreme hot and cold testing scenarios Free-field response: 3.15 Hz to 20 kHz, optimized for the frequency range relevant to cabin noise, powertrain NVH, and road noise 50 mV/Pa sensitivity: High enough for quiet cabin measurements, robust enough for engine noise Matched Microphone-Preamplifier Sets Every CRYSOUND measurement microphone set includes a matched preamplifier, factory-calibrated as a complete system. This eliminates the guesswork of mixing microphones and preamplifiers from different sources, and ensures that the combined frequency response, noise floor, and dynamic range meet the published specifications. Calibration and Traceability All CRYSOUND measurement microphones ship with individual calibration certificates traceable to national standards. For ongoing measurement assurance, see our guide on measurement microphone calibration. Explore CRYSOUND Measurement Microphones → Frequently Asked Questions What is the difference between a measurement microphone and a regular microphone? A measurement microphone is designed for accuracy and traceability — its output must truthfully represent the sound pressure at the measurement point. A regular microphone is designed for audio quality, often with intentional frequency shaping to enhance speech clarity or musical timbre. For a detailed comparison, read Measurement vs. Regular Microphones. Do I need to calibrate my measurement microphone? Yes. Regular calibration — at minimum before each measurement session using an acoustic calibrator — ensures your results are accurate and traceable. Periodic laboratory recalibration (typically annually) verifies long-term stability. Learn more about microphone calibration. Can I use a 1/2-inch microphone for ultrasonic measurements? Standard 1/2-inch microphones typically reach up to 20–40 kHz, which is insufficient for many ultrasonic applications. For measurements above 40 kHz, a 1/4-inch microphone is recommended — models like the CRY3403 reach 90 kHz, while the CRY3402 reaches 100 kHz. What does "free-field" vs. "pressure-field" mean? A free-field microphone is optimized for measuring sound arriving from one direction in open space. A pressure-field microphone is optimized for measuring sound pressure in enclosed cavities or at surfaces. The difference is in how the microphone compensates for acoustic diffraction effects at high frequencies. How do I choose between externally polarized and prepolarized? For laboratory reference measurements in controlled environments, externally polarized microphones offer the best long-term stability. For field measurements, industrial applications, or environments with high humidity, prepolarized microphones are more practical and equally accurate with modern designs. What IP rating do I need for outdoor or industrial use? For NVH field testing and outdoor measurements, IP67 (dust-tight, waterproof) provides the best protection. The CRY3213 is specifically designed for these conditions. For general lab use, IP protection is typically not required. Need help selecting the right measurement microphone for your application? Contact CRYSOUND for expert guidance based on your specific measurement requirements.
Acoustic camera line up

What Is an Acoustic Camera? The Complete Guide to Sound Source Localization

Acoustic cameras turn invisible sound into visible images. This guide explains how they work, where they're used, and how to choose the right one for your application. What Is an Acoustic Camera? An acoustic camera is a device that locates and visualizes sound sources in real time. It combines a microphone array — typically 64 to 200+ MEMS microphones arranged in a specific pattern — with a video camera and signal processing software. The result is a color-coded overlay on a live video feed, showing exactly where sound is coming from and how loud it is. Think of it as a thermal camera, but for sound instead of heat. Where a thermal camera shows hot spots in red, an acoustic camera shows loud spots — pinpointing the exact location of a leak, a faulty bearing, or an electrical discharge that you can't see with your eyes. The technology was originally developed for aerospace and automotive NVH (Noise, Vibration, and Harshness) testing. Today, it has expanded into industrial maintenance, energy utilities, manufacturing quality control, and building acoustics. How Does an Acoustic Camera Work? How an acoustic camera uses beamforming: sound waves arrive at each microphone with different time delays (Δt), the processor combines all signals, and outputs a color-coded sound map. The Microphone Array At the core of every acoustic camera is a microphone array — a precisely arranged set of MEMS (Micro-Electro-Mechanical Systems) microphones. The number of microphones directly affects performance: 64 microphones: Entry-level, suitable for general-purpose sound source localization 128 microphones: Professional-grade, better resolution and dynamic range 200+ microphones: High-end, capable of detecting subtle sources in noisy environments The spatial arrangement of these microphones matters as much as the count. Common configurations include circular, spiral (Fibonacci), and grid patterns. Each has trade-offs: spiral arrays offer good broadband performance, while grid arrays are better for near-field measurements. Beamforming: The Core Algorithm The key technology behind acoustic cameras is beamforming — a signal processing technique that combines signals from multiple microphones to "focus" on specific locations in space. Here's a simplified explanation: A sound wave arrives at each microphone at slightly different times (because each microphone is at a different distance from the source) The software calculates the expected time delay for every possible source location in the field of view For each candidate location, it shifts and sums the microphone signals according to the calculated delays Locations where the shifted signals add up constructively are identified as sound sources This process is repeated for every pixel in the image, producing a "sound map" that shows the spatial distribution of sound energy. Beamforming vs. Acoustic Holography There are two main acoustic imaging technologies: FeatureBeamformingAcoustic Holography (NAH)Best frequency rangeMid to high frequencies (>500 Hz)Low frequencies (<2 kHz)Measurement distanceFar-field (>1 meter)Near-field (<30 cm from source)ResolutionLimited by wavelength and array sizeHigher resolution at low frequenciesSpeedReal-time capableRequires careful scanningBest forLeak detection, general noise mappingEngine NVH, vibration analysis Most modern acoustic cameras use beamforming as the primary method because it works in real time and doesn't require the camera to be positioned close to the source. Some advanced systems support both technologies for maximum flexibility. The Role of the Video Camera The microphone array generates a sound map; the video camera provides the visual reference. The software overlays the sound map onto the video feed as a color-coded heat map, allowing the user to instantly see which component, pipe, or connection is producing the sound. High-end systems use depth cameras (such as Intel RealSense) to create 3D acoustic maps, enabling more accurate source localization on complex geometry. Frequency Range: Why It Matters Different applications require different frequency ranges: ApplicationTypical Frequency RangeWhyCompressed air leak detection20–50 kHzLeaks produce high-frequency hissingPartial discharge detection20–100 kHzElectrical discharges emit ultrasonic signalsMechanical fault detection1–20 kHzBearing wear, misalignment produce audible noiseAutomotive NVH100 Hz–10 kHzRoad noise, wind noise, engine noiseBuilding acoustics50 Hz–8 kHzLow-frequency structure-borne noise An acoustic camera with a frequency range of up to 100 kHz can handle virtually all industrial applications, including ultrasonic leak and partial discharge detection. Cameras limited to 20 kHz are suitable only for audible noise analysis. Key Applications Acoustic camera detecting vacuum leaks in composite materials — the color overlay pinpoints the exact leak location on the surface. Partial discharge detection on high-voltage insulators — the acoustic camera identifies discharge locations from a safe distance, combined with infrared thermal imaging for comprehensive diagnostics. 1. Compressed Air Leak Detection Compressed air is one of the most expensive energy sources in a factory. Studies show that 20–30% of compressed air is lost to leaks. An acoustic camera can scan an entire production line in minutes, identifying leaks that are invisible and inaudible to human ears. Why acoustic cameras beat traditional methods: Ultrasonic leak detectors require you to check one point at a time; an acoustic camera scans an entire area at once Visual overlay pinpoints the exact location — no guessing Many systems can estimate leak rate and annual cost, helping you prioritize repairs 2. Electrical Partial Discharge Detection Partial discharge (PD) is an early warning sign of insulation failure in high-voltage equipment — transformers, switchgear, cables, and bus bars. Left undetected, PD leads to complete insulation breakdown and potentially catastrophic failure. Acoustic cameras detect PD by capturing the ultrasonic emissions (typically 20–100 kHz) that accompany electrical discharge. The advantage over traditional PD detection methods: Non-contact: No need to de-energize equipment Real-time visualization: See exactly where the discharge is occurring Safe distance: Inspect live equipment from several meters away 3. Mechanical Fault Diagnosis Worn bearings, misaligned shafts, loose components, and valve leaks all produce characteristic sound signatures. An acoustic camera can identify and locate these faults before they lead to unplanned downtime. Common use cases: Motor and pump bearing wear detection Steam trap malfunction Valve leak identification Gearbox noise analysis 4. Automotive and Aerospace NVH Testing This is where acoustic cameras originated. NVH engineers use them to: Identify wind noise sources on vehicle bodies Locate rattles and squeaks in interior trim Analyze tire/road noise contributions Map engine noise radiation patterns Validate sound package effectiveness For NVH applications, large-aperture arrays (200+ microphones) provide the resolution needed to distinguish closely spaced sources. 5. Noise Compliance and Building Acoustics Environmental noise regulations require manufacturers to identify and reduce noise emissions. Acoustic cameras help: Map factory noise sources for compliance reporting Identify noise paths in buildings (walls, windows, HVAC) Verify effectiveness of noise barriers and enclosures 6. UAV-Mounted Acoustic Inspection A newer application: mounting acoustic cameras on drones for inspection of hard-to-reach infrastructure. Applications include: Power line and substation inspection Wind turbine blade inspection Pipeline corridor leak surveys Tall structure noise mapping Types of Acoustic Cameras Four form factors of acoustic cameras: Handheld (CRY8124), Fixed-Mount (CRY2623M), Large Array (CRY8500 SonoCAM Pi), and UAV-Mounted (CRY2626G). Handheld Acoustic Cameras Portable, battery-powered devices for field use. Typically 64–128 microphones with a built-in display. Best for maintenance rounds, leak detection, and quick inspections. Pros: Portable, easy to use, quick deployment Cons: Limited microphone count, smaller array = lower resolution at distance Fixed/Mounted Acoustic Cameras Permanently installed for continuous monitoring. Used in power substations, data centers, and critical infrastructure. Can run 24/7 with automated alerts. Pros: Continuous monitoring, automated alerting, no operator needed Cons: Fixed field of view, higher installation cost Large-Array Systems 200+ microphones on a larger frame. Used for NVH testing, pass-by noise measurement, and research applications. Often mounted on tripods or overhead structures. Pros: Highest resolution, widest frequency range, best for complex analysis Cons: Not portable, requires setup, higher cost UAV-Mounted Systems Lightweight acoustic arrays designed for drone mounting. Used for remote inspection of power lines, pipelines, and industrial facilities. Pros: Access to hard-to-reach locations, large-area surveys Cons: Flight time limits, vibration interference, regulatory requirements How to Choose the Right Acoustic Camera Quick decision guide: Choose your acoustic camera based on primary application. Step 1: Define Your Primary Application Your application determines the minimum specifications: ApplicationMin. MicrophonesFrequency RangeForm FactorCompressed air leak detection64Up to 50 kHzHandheldPartial discharge detection64–128Up to 100 kHzHandheld or fixedMechanical fault diagnosis64Up to 20 kHzHandheldNVH testing128–200+100 Hz–20 kHzLarge arrayContinuous monitoring64–128Application-dependentFixedDrone inspection64–128Up to 50 kHzUAV-mounted Step 2: Consider the Environment Noisy factory floor? You need more microphones and advanced algorithms to separate the target signal from background noise Outdoor use? Look for weather-resistant designs and wind noise rejection Hazardous area? Check for ATEX/IECEx certification Large distance? More microphones = better resolution at range Step 3: Evaluate the Software The hardware captures the data; the software turns it into actionable information. Key software features to look for: Real-time display: See the sound map live as you scan Frequency filtering: Isolate specific frequency bands to focus on particular issues Leak rate estimation: Quantify the cost of leaks in dollars or energy units Reporting: Generate professional reports with screenshots, measurements, and recommendations AI-assisted detection: Automatic identification of leak patterns and fault signatures Step 4: Compare Specifications Key specs to compare across manufacturers: SpecificationWhat It MeansWhat to Look ForMicrophone countMore mics = better resolution and sensitivity64 minimum; 128+ for demanding applicationsFrequency rangeDetermines what you can detectUp to 100 kHz for PD and ultrasonic leaksDynamic rangeAbility to measure both quiet and loud sources>70 dB for industrial environmentsAngular resolutionAbility to separate nearby sourcesSmaller is better; depends on frequency and distanceFrame rateHow quickly the sound map updates>10 fps for real-time scanningWeight and sizePortability<2 kg for handheld daily-use devicesBattery lifeRuntime for field use>3 hours for a full shift of inspectionsIP ratingDust and water resistanceIP54 or higher for industrial environments CRYSOUND Acoustic Camera Solutions CRYSOUND offers one of the widest product lines in the acoustic camera market — covering handheld, fixed-mount, large-array, and UAV-mounted form factors from a single manufacturer. Product Lineup CRY2624: 128-microphone handheld acoustic camera with ATEX certification — portable, field-ready, and safe for hazardous environments CRY8124: 200 MEMS microphones, frequency range up to 100 kHz — handles both audible noise analysis and ultrasonic applications (leak detection + partial discharge) in a single device CRY2623M: Fixed-mount version for 24/7 continuous monitoring of substations and critical infrastructure CRY8500 Series (SonoCAM Pi): Large spiral microphone array for NVH testing, pass-by noise measurement, and advanced acoustic research CRY2626G: Drone-mounted acoustic camera for remote inspection of power lines, pipelines, and wind turbines CRYSOUND acoustic camera product family: from handheld to drone-mounted solutions. Key Differentiator 1: Modular Sensor Expansion Unlike most competitors that offer a fixed-function device, CRYSOUND's acoustic cameras support external sensor modules for expanded capabilities: Infrared thermal imaging module: Combines acoustic and thermal data in a single view — when inspecting power equipment, engineers can simultaneously see the acoustic signature of partial discharge and the thermal hot spot of overheating components. This dual-mode inspection is widely used in power utilities for comprehensive substation diagnostics. IA3104 Contact Ultrasound Sensor: An external contact-type ultrasonic probe designed specifically for valve internal leak detection. The sensor couples directly to the metal surface of a valve, capturing high-frequency ultrasonic signals generated by internal leakage. Combined with intelligent analytics and guided workflows, it automates the full diagnostic process — from data acquisition to leak classification. This is critical for preventive maintenance of oil pipeline valves and natural gas network valves. This modular approach means a single CRYSOUND acoustic camera can serve as a comprehensive inspection platform, rather than requiring separate instruments for each detection task. Key Differentiator 2: Acoustic Link Mobile App CRYSOUND's Acoustic Link is a companion mobile app that connects to the acoustic camera via Wi-Fi. It enables: On-device preview: View captured photos, videos, and inspection reports on your phone or tablet — no PC required Defect-specific visualization: Retrieve gas-leak acoustic maps, partial-discharge patterns, and thermal images directly in the app One-tap sharing: Save results locally and share via the system share sheet for instant communication with colleagues and customers Automated report generation: Generate and export professional inspection reports from the field, eliminating the need to return to the office for post-processing For field inspection teams, this means faster turnaround from detection to documentation. Key Differentiator 3: Complete Acoustic Ecosystem Beyond acoustic cameras, CRYSOUND manufactures electroacoustic test systems (CRY6151B), acoustic test chambers, and calibration equipment — enabling complete acoustic testing solutions from a single vendor. With 28 years of experience and over 10,000 customers across 90+ countries, CRYSOUND brings deep domain expertise to every product. Explore CRYSOUND Acoustic Camera Products → Frequently Asked Questions What is the difference between an acoustic camera and a sound level meter? A sound level meter measures the overall sound pressure level at a single point. It tells you how loud it is, but not where the sound comes from. An acoustic camera shows both the location and the intensity of sound sources, making it far more useful for diagnosing and fixing noise problems. How far away can an acoustic camera detect a leak? Detection range depends on the leak size, background noise, microphone count, and frequency range. A typical handheld acoustic camera with 64–128 microphones can detect a 1mm compressed air leak from 10–30 meters away. Larger leaks can be detected from even greater distances. Can an acoustic camera work in a noisy factory? Yes. Modern acoustic cameras use beamforming algorithms that can isolate specific sound sources even in high-background-noise environments. The key is having enough microphones — more microphones provide better noise rejection and higher signal-to-noise ratio. Do I need training to use an acoustic camera? Basic operation is straightforward — point the camera, look at the screen, and identify the highlighted areas. Most users can start finding leaks within minutes. However, interpreting complex acoustic patterns (NVH analysis, partial discharge classification) benefits from training and experience. What is the ROI of an acoustic camera? For compressed air leak detection alone, the ROI is typically measured in months. A single quarter-inch air leak costs $2,500–$8,000 per year. Most industrial facilities have dozens to hundreds of leaks. An acoustic camera that helps you find and fix these leaks can pay for itself in the first survey. Can acoustic cameras detect gas leaks other than compressed air? Yes. Acoustic cameras can detect any pressurized gas leak that produces turbulent flow noise — including nitrogen, oxygen, hydrogen, natural gas, and refrigerants. The frequency characteristics may vary by gas type, but the detection principle is the same. Need help choosing the right acoustic camera for your application? Contact CRYSOUND for a personalized recommendation based on your specific requirements.
CRY7413 Acoustic Test Chamber

How to Choose the Right Acoustic Test Chamber for Your Application

Why Choosing the Right Acoustic Test Chamber Matters In electroacoustic testing and wireless device production, the test chamber is not just a box — it directly affects measurement accuracy, throughput, and production costs. The wrong chamber can introduce background noise into your measurements, fail to shield RF interference, or simply not fit your DUT (Device Under Test). This guide walks you through the key factors for selecting an acoustic test chamber, with a comparison of CRYSOUND’s product range to help you match the right model to your application. Key Selection Criteria 1. What Are You Testing? The size and type of your DUT is the first deciding factor: DUT TypeTypical ProductsChamber RequirementSmall wireless devicesTWS earbuds, smartphones, smart watchesCompact chamber with RF shieldingMedium devicesBluetooth speakers, headphones, smart home devicesMid-size chamber with good low-frequency isolationLarge devicesLaptops, walkie-talkies, wireless serversLarge chamber with full RF shieldingUltra-quiet testingMEMS microphones, hearing aids, high-sensitivity sensorsUltra-low noise floor chamber 2. Acoustic Isolation Performance How much noise do you need to block? If your production floor is noisy (70–80 dB ambient), you need a chamber with high sound attenuation to achieve a clean measurement environment. For laboratory settings that are already relatively quiet, a lighter chamber may suffice. Key spec to check: Sound attenuation (dB) across the frequency range relevant to your product. Pay special attention to low-frequency attenuation — this is where most chambers struggle, and where the CRY725D specifically excels. 3. RF Shielding If you are testing wireless devices (Bluetooth, WiFi, GSM, WCDMA, RFID, GPS), RF shielding is essential to prevent interference between adjacent production lines. Without it, neighbouring test stations can cause false failures. Key spec to check: Shielding effectiveness (dB) at the frequencies your device operates on. 4. Door Mechanism: Pneumatic vs Manual FeaturePneumatic DoorManual DoorSpeedFast open/close, ideal for high-volume productionSlower, suitable for lab or low-volumeAutomationSerial port / PLC control, integrates into automated linesManual operation onlyConsistencyRepeatable sealing force every cycleDepends on operatorCostHigher (requires air supply)LowerBest forProduction linesR&D labs, occasional testing 5. Production Line Integration For high-volume manufacturing, consider: Drawer-style design — slides into automated test racks (e.g. CRY7865, CRY725D) Shell-type design — pairs with analysers for multi-station operation (e.g. CRY723) Serial port control — enables software-triggered open/close for fully automated test sequences CRYSOUND Acoustic Test Chamber Lineup Here is a comparison of our full product range, organised by application scenario: For Smartphones & Wireless Wearables CRY723 Pneumatic Acoustic Test Chamber Design: Shell-type, compact form factor Best for: Smartphones, TWS earbuds, smart watches, wireless wearables Key advantage: Cost-effective and high-performance. Combine two CRY723 units with a CRY6151B analyser for complete audio, ENC, and ANC measurements — one operator manages two test stations simultaneously Door: Pneumatic CRY723D Pneumatic Acoustic Test Chamber Design: Enhanced version of CRY723 Best for: Wireless electronic and communication products requiring comprehensive RF testing Key advantage: Full wireless connectivity support — Bluetooth, WiFi, GSM, WCDMA, RFID, GPS Door: Pneumatic For Large Wireless Devices CRY725 Pneumatic Acoustic Test Chamber Design: Large-format chamber Best for: Laptops, walkie-talkies, wireless servers, and other large wireless devices Key advantage: Spacious internal volume for large DUTs, compatible with comprehensive testers and vector network analysers Door: Pneumatic CRY725D Pneumatic Acoustic Test Chamber Design: Drawer-style, enhanced low-frequency performance Best for: Background noise measurement, applications requiring superior low-frequency isolation Key advantage: Superior soundproofing at low frequencies compared to CRY725. Combined with CRY6151B and CRY algorithm, provides enhanced noise floor minimisation for precision testing Door: Pneumatic (drawer-style) For Production Line Integration CRY7865 Pneumatic Acoustic Test Chamber Design: Drawer-style, designed for rack integration Best for: Automated production lines testing Bluetooth headphones, speakers, laptops Key advantage: High-performance acoustic isolation and RF shielding in one unit. Drawer-style design facilitates seamless integration into automated test systems Door: Pneumatic (drawer) CRY710 Pneumatic Acoustic Test Chamber Design: Welded steel plate construction, robust RF shielding Best for: Bluetooth, WiFi device testing where strong RF shielding is the priority Key advantage: Prevents interference between adjacent production lines. Combine two CRY710 units with a CRY6151B for quadruplex TWS headphone audio testing Door: Pneumatic (serial port controlled) For R&D and Laboratory Use CRY7413 Acoustic Test Chamber, Manual Door Design: Compact, manual door, adjustable test jig Best for: R&D labs, product development, low-volume testing Key advantage: User-friendly design with marked and adjustable test jig that accommodates various DUT sizes. Quick DUT exchange with minimal operator strain Door: Manual CRY7412 Ultra-Quiet Chamber Design: Double-shell (box-in-box), lateral two-stage opening Best for: Testing very quiet sounds — MEMS microphones, hearing aids, high-sensitivity sensors Key advantage: Unique box-in-box design provides the lowest noise floor in the product range. Essential when your DUT produces very low sound levels that would be masked by ambient noise in a standard chamber Door: Manual (two-stage lateral opening) Quick Selection Guide Your SituationRecommended ModelWhyTesting TWS earbuds on a production lineCRY723Compact, cost-effective, dual-station with CRY6151BTesting laptops or large wireless devicesCRY725Large internal volume, full RF shieldingNeed superior low-frequency isolationCRY725DEnhanced low-frequency soundproofingAutomated production line integrationCRY7865Drawer-style, RF + acoustic shieldingBluetooth/WiFi RF isolation is priorityCRY710Robust welded steel RF shieldingR&D lab, various DUT sizesCRY7413Adjustable jig, easy DUT exchangeMeasuring very quiet soundsCRY7412Double-shell, lowest noise floor Frequently Asked Questions Do I need RF shielding in my acoustic test chamber? If you are testing any wireless device (Bluetooth, WiFi, cellular), the answer is yes. Without RF shielding, wireless signals from neighbouring test stations or production equipment can cause false test failures. All CRYSOUND pneumatic chambers include RF shielding as standard. Can I use one chamber for both R&D and production? Yes, but the optimal choice differs. For R&D, flexibility and low noise floor matter most (CRY7413 or CRY7412). For production, speed and automation matter most (CRY723, CRY7865). If you need both, consider the CRY723 — it balances performance, automation capability, and cost. What is the advantage of drawer-style vs shell-type chambers? Drawer-style (CRY7865, CRY725D) slides into standard equipment racks and integrates cleanly into automated test lines. Shell-type (CRY723) opens like a clamshell for quick DUT loading and is more versatile for varied DUT shapes. Choose drawer-style for fixed production setups; shell-type for flexible or multi-product lines. How do I reduce labour costs in acoustic testing? Combine two test chambers with a single CRY6151B electroacoustic analyser. While one DUT is being tested, the operator loads the next DUT in the second chamber. This dual-station setup — supported by CRY723, CRY710, and other models — effectively doubles throughput with no additional headcount. Need Help Choosing? Every production environment is different. If you are unsure which model fits your requirements, our engineering team can help you evaluate your testing needs and recommend the right configuration. Contact CRYSOUND for a personalised recommendation based on your DUT, production volume, and test requirements.

Anechoic Chamber Explained: Types, Design Standards, and How to Test Without One

What Is an Anechoic Chamber? An anechoic chamber is a room designed to completely absorb sound reflections. The walls, ceiling, and (in a full anechoic chamber) the floor are lined with wedge-shaped foam or fibreglass absorbers that prevent sound waves from bouncing back into the room. The result is a controlled acoustic environment that simulates free-field conditions — as if the sound source were suspended in open air with no surfaces nearby. This matters because most acoustic measurements — sound power, directivity, frequency response — require a known, reflection-free environment to produce repeatable, standards-compliant results. Without it, room reflections contaminate the measurement, making results dependent on the specific room rather than the product being tested. Full Anechoic vs Semi-Anechoic (Hemi-Anechoic) Chambers Feature Full Anechoic Semi-Anechoic (Hemi-Anechoic) Absorbing surfaces All 6 surfaces (walls, ceiling, floor) 5 surfaces (walls + ceiling); floor is reflective Floor Wire mesh or perforated metal grid suspended above absorbers Solid, load-bearing concrete or steel Acoustic condition Free-field (no reflections from any direction) Free-field over a reflecting plane Load capacity Limited — cannot support heavy equipment directly Can support vehicles, machinery, industrial equipment Primary standards ISO 3745 (precision sound power) ISO 3744 (engineering sound power), ISO 3745 Typical use Microphone calibration, loudspeaker characterisation, hearing research Automotive NVH, product noise testing, industrial machinery Cost Higher (floor treatment adds significant cost and complexity) Lower (no floor treatment needed) In practice, about 80% of industrial acoustic testing uses semi-anechoic chambers because most test objects — cars, appliances, compressors, power tools — are too heavy for a suspended wire-mesh floor. What Standards Require an Anechoic Chamber? ISO 3745 — Precision Sound Power Measurement The gold standard for sound power determination. Requires either a full anechoic or hemi-anechoic chamber qualified to meet strict free-field deviation limits across the frequency range of interest. The chamber must demonstrate that the inverse-square law holds to within ±1 dB at the measurement positions. Typical cut-off frequency: 80–200 Hz, depending on chamber size and wedge depth. Below this frequency, the chamber no longer behaves as a free field. ISO 3744 — Engineering Sound Power Measurement Less stringent than ISO 3745 but still requires a hemi-anechoic environment. Allows for environmental corrections when the room is not perfectly anechoic, making it practical for production-floor test cells that approximate (but do not perfectly achieve) free-field conditions. ISO 26101 — Qualification of Free-Field Environments Defines how to verify whether a room actually meets free-field requirements. This is the standard used to “qualify” an anechoic or hemi-anechoic chamber — confirming that its acoustic performance matches what is claimed. Other Standards ECMA-74: IT equipment noise measurement (uses ISO 3745 or ISO 3744 as the underlying acoustic method) ANSI S12.55 / S12.56: North American equivalents of ISO 3744/3745 ISO 11201–11205: Various sound pressure level determination methods, some requiring free-field conditions Key Design Considerations 1. Chamber Size and Usable Volume The physical dimensions determine the lowest usable frequency. A general rule: the chamber must be large enough that the distance between the sound source and each measurement microphone is at least one wavelength at the lowest frequency of interest. For a 100 Hz cut-off, the minimum source-to-microphone distance is approximately 3.4 metres, which means the chamber’s internal dimensions (excluding wedges) should be at least 7–8 metres per side for a hemi-anechoic chamber. 2. Wedge Absorbers The depth of the absorbing wedges determines the low-frequency performance. Deeper wedges absorb lower frequencies: Wedge Depth Approximate Low-Frequency Cut-off 200 mm ~500 Hz 500 mm ~200 Hz 1000 mm ~80–100 Hz Wedge materials include melamine foam (lightweight, fire-retardant) and fibreglass (better low-frequency absorption but heavier). 3. Background Noise An anechoic chamber must also be well-isolated from external noise. The ambient noise level inside the chamber (with no source operating) should be at least 6 dB — and preferably 15 dB — below the sound pressure level generated by the test object at the measurement positions. This typically requires a chamber built with multiple layers of massive construction (concrete, steel) and vibration-isolated mounting to prevent structure-borne noise transmission. 4. Vibration Isolation For NVH testing (especially automotive), the chamber floor may include vibration-isolated foundations or air-spring mounting systems to prevent road-simulator or dynamometer vibrations from coupling into the acoustic measurement environment. What If You Do Not Have an Anechoic Chamber? Not every organisation can invest $500K–$2M+ in a purpose-built anechoic facility. Several practical alternatives exist: Sound Intensity Method (ISO 9614) Sound intensity measurements are inherently less sensitive to room reflections because intensity is a vector quantity — it distinguishes between outgoing sound (from the source) and incoming sound (reflections from room surfaces). This allows sound power determination in ordinary rooms without anechoic treatment. Trade-off: Requires specialised intensity probes and more complex measurement procedures. Acoustic Test Boxes For small products (electronics, components, transducers), a desktop-sized acoustic test box provides a controlled, low-noise environment that approximates anechoic conditions within a defined frequency range. These are significantly cheaper than a full chamber and can be placed directly on a production line. CRYSOUND offers a comprehensive range of acoustic test chambers designed for different testing scenarios: CRY723 Pneumatic Acoustic Test Chamber — A compact, shell-type test box ideal for smartphones and wireless wearables. Combine two CRY723 units with a CRY6151B analyzer for complete audio, ENC, and ANC measurements. CRY725 Pneumatic Acoustic Test Chamber — Designed for larger wireless devices such as laptops and walkie-talkies. Compatible with comprehensive testers and vector network analyzers. CRY7865 Pneumatic Acoustic Test Chamber — A high-performance drawer-style chamber with both acoustic isolation and RF shielding, ideal for production line audio and noise measurements of wireless electronic devices. CRY7412 Ultra-Quiet Chamber — An ultra-quiet chamber for testing very quiet sounds in noisy environments. Features a unique double-shell design for superior noise isolation. All models support pneumatic operation for fast, repeatable DUT loading on production lines — a practical alternative when a full anechoic chamber is not justified by the application. Portable Acoustic Arrays Modern acoustic imaging cameras can identify and localise noise sources in situ — in the factory, on the production line, or in the field — without any anechoic treatment. While not a substitute for standards-compliant sound power measurements, acoustic imaging enables rapid noise source diagnosis that previously required dedicated chamber time. The CRY8500 Series SonoCam Pi Acoustic Camera, is a portable acoustic imaging camera that delivers real-time sound source visualisation — ideal for R&D engineers working on noise source identification in automotive NVH, industrial equipment, and consumer electronics. In-Situ Sound Power (ISO 3744 with Corrections) ISO 3744 allows environmental correction factors to account for room reflections. If the correction is small (typically less than 2 dB), the measurement can be performed in a reasonably quiet industrial space without a purpose-built chamber. The SonoDAQ Pro data acquisition system combined with OpenTest software supports automated sound power calculations with environmental corrections built in — enabling standards-compliant measurements without a dedicated anechoic chamber. Frequently Asked Questions How much does an anechoic chamber cost? Costs vary widely based on size, performance requirements, and cut-off frequency. A small hemi-anechoic room for component testing may start around $100K–$300K, while a large automotive-grade full anechoic chamber can exceed $2M. For smaller products, acoustic test boxes offer similar isolation at a fraction of the cost. What is the difference between an anechoic chamber and a soundproof room? A soundproof room blocks external noise from entering but does nothing about internal reflections. An anechoic chamber both blocks external noise and absorbs internal reflections, creating a free-field environment for precision measurement. Can I do acoustic testing without an anechoic chamber? Yes. Depending on your application, alternatives include acoustic test boxes for small products, sound intensity methods (ISO 9614), portable acoustic imaging cameras like the CRY8500 SonoCam Pi, and in-situ measurements with environmental corrections using systems like SonoDAQ Pro. What frequency range does an anechoic chamber cover? The usable frequency range depends on the wedge depth and chamber dimensions. Most chambers are effective from their cut-off frequency (typically 80–200 Hz) up to 20 kHz or beyond. Below the cut-off, the chamber no longer provides adequate absorption. How is an anechoic chamber qualified? Chamber qualification follows ISO 26101, which verifies that the inverse-square law (sound pressure decreasing by 6 dB per doubling of distance) holds within specified tolerances at the measurement positions. Conclusion Anechoic chambers remain the gold standard for precision acoustic measurement — but they are not the only option. Understanding what your application truly requires helps you choose the right solution, whether that is a full anechoic room, a compact acoustic test chamber, or an in-situ measurement approach. At CRYSOUND, we provide the full spectrum: from purpose-built anechoic chambers to portable acoustic test boxes and advanced measurement systems — so you can get accurate results regardless of your facility constraints. Contact us to discuss which solution fits your testing requirements.

Unexpected Issues During Pilot Production

During pilot production and production line ramp-up, many issues do not appear in the way teams initially expect. Sometimes it starts with a small fluctuation at a test station, or a comment from a line engineer saying, "This result looks a bit unusual."However, when takt time, yield targets, and delivery milestones are all under pressure, these seemingly minor anomalies can quickly be amplified and begin to affect the overall production rhythm. We have been working with Huaqin as a long-term partner. As projects progressed, the challenges encountered on the production line became increasingly complex. On site, our role gradually extended from basic production test support to problem analysis and cross-team coordination during pilot production. In many cases, the focus was not simply on whether a test station was functioning, but on how to absorb uncertainties early and prevent them from disrupting delivery schedules. The following two experiences both took place during the pilot production phase of Huaqin projects. They are not exceptional cases. On the contrary, they represent the kind of everyday issues that most accurately reflect the realities of production line delivery. Airtightness Testing Issues in Project α During the pilot ramp-up of Project α, the airtightness test station for the audio microphone showed clear instability. For the same batch of products, pass rates fluctuated noticeably across repeated tests, frequently interrupting the station's operating rhythm. Initial troubleshooting naturally focused on the test system itself, including software logic, equipment status, and basic parameter settings. It soon became clear, however, that the issue did not originate from these areas. As on-site verification continued, we gradually confirmed that the anomaly was more closely related to the product's mechanical structure and material characteristics. This model used a relatively uncommon combination of materials. A sealing solution that had worked well in previous projects could not maintain consistency during actual compression. Even slight variations in applied pressure were enough to influence test results. Once the direction of the problem was clarified, the on-site approach shifted accordingly. Rather than repeatedly adjusting the existing solution, we returned to verifying the compatibility between materials and structure. Over the following period, we worked together with the customer's engineering team on the production line, testing multiple material options. This included different types of silicone and cushioning materials, variations in silicone hardness, and adjustments to plug compression methods. Each step was evaluated based on real test results before moving forward. The process was not fast, nor was it particularly clever. In essence, it came down to repeatedly confirming one question: could this solution run stably under real production line conditions?Ultimately, by introducing a customized soft silicone gasket and making fine parameter adjustments, the airtightness test results gradually stabilized. The station was able to run continuously, and the pilot production rhythm was restored. Figure 1. Test Fixture Diagram Noise Floor Issues in Project β Compared with the airtightness issue in Project α, the noise floor anomaly encountered during pilot production in Project β was more complex to diagnose. During headphone pilot production for Project β at Huaqin's Nanchang site, the noise floor test station repeatedly triggered alarms. Test data showed that measured noise levels consistently exceeded specification limits, significantly impacting the pilot production schedule. This model used high-sensitivity drivers along with a new circuit design, making the potential noise sources inherently more complex. It was not a problem that could be resolved by simply adjusting a single parameter. Rather than focusing solely on the test station, we worked with the customer's audio team to investigate the issue from a system-level signal chain perspective. The process involved sequentially testing different shielding cables, adjusting grounding strategies, evaluating various Bluetooth dongle connection methods, and isolating potential power supply and electromagnetic interference sources within the test environment. Through continuous spectrum analysis and comparative testing, the scope of the issue was gradually narrowed. It was ultimately confirmed that the elevated noise floor was primarily related to power interference from the Bluetooth dongle, combined with differences in product behavior across operating states. After this conclusion was reached, relevant configurations were adjusted and validated on site. As a result, noise floor measurements returned to a stable and controllable range, allowing pilot production to proceed. Figure 2. Work with the customer engineer to solve problems Common Characteristics of Pilot Production Issues Looking back at these two pilot production experiences, it becomes clear that despite their different manifestations, the underlying diagnostic processes were quite similar. Whether dealing with airtightness instability or excessive noise, the root cause could not be isolated to a single module. Effective resolution required on-site evaluation across mechanical structure, materials, system operating states, and test conditions. During pilot production, issues of this nature rarely come with ready-made answers. They are also unlikely to be resolved through a single verification cycle. More often, progress is made through repeated trials, comparisons, and eliminations, gradually converging on a solution that is genuinely suitable for long-term production line operation. Production line delivery rarely follows a perfectly smooth path. In many cases, what ultimately determines whether a project can move forward as planned are those unexpected issues that must be addressed immediately when they arise. In our long-term collaboration with customers, our work often takes place at these critical moments—working alongside engineering teams to stabilize processes, maintain momentum, and keep projects moving forward step by step. If you also want CRYSOUND to support your production line, you can fill out the Get in Touch form below.

Abnormal Noise Testing Explained: Principle,Method,and Configuration

In our previous blog post, "Abnormal Noise Detection: From Human Ears to AI"we discussed the key pain points of manual listening, introduced CRYSOUND's AI-based abnormal-noise testing solution, outlined the training approach at a high level, and showed how the system can be deployed on a TWS production line. In this post, we take the next step: we'll dive deeper into the analysis principles behind CRYSOUND's AI abnormal-noise algorithm, share practical test setups and real-world performance, and wrap up with a complete configuration checklist you can use to plan or validate your own deployment. Challenges Of Detecting Anomalies With Conventional Algorithms In real factories, true defects are both rare and highly diverse, which makes it difficult to collect a comprehensive library of abnormal sound patterns for supervised training. Even well-tuned—sometimes highly customized—rule-based algorithms rarely cover every abnormal signature. New defect modes, subtle variations, and shifting production conditions can fall outside predefined thresholds or feature templates, leading to missed detections (escapes). In the figure below, we compare two wav files that we generated manually. Figure 1: OK Wav Figure 2: NG Wav You can see that conventional checks—frequency response, THD, and a typical rub & buzz (R&B) algorithm—can hardly detect the injected low-level noise defect; the overall curve difference is only ~0.1 dB. In a simple FFT comparison, the two wav files do show some discrepancy, but in real production conditions the defect energy may be even lower, making it very likely to fall below fixed thresholds and slip through. By contrast, in the time–frequency representation , the abnormal signature is clearly visible, because it appears as a structured pattern over time rather than a small change in a single averaged curve. Figure 3: Analysis results Principle Of AI Abnormal Noise Algorithm CRYSOUND proposes an abnormal-noise detection approach built on a deep-learning framework that identifies defects by reconstructing the spectrogram and measuring what cannot be well reconstructed. This breaks through key limitations of traditional rule-based methods and, at the principle level, enables broader and more systematic defect coverage—especially for subtle, diverse, and previously unseen abnormal signatures. The figure below illustrates the core workflow behind our training and inference pipeline. Figure 4: Algorithm Flow Principle During model training, we build the algorithm following the workflow below. Figure 5: Algorithm Judgment Principle How To Use And Deploy The AI Algorithm Preparation First, prepare a Low-Noise Measurement Microphone / Low-noise Ear Simulator and a Microphone Power Supply to ensure you can capture subtle abnormal signatures while providing stable power to the mic. Figure 6: Low-Noise Measurement Microphone Next, you'll need a sound card to record the signal and upload the data to the host PC. Figure 7: Data Acquisition System Third, use a fixture or positioning jig to hold the product so that placement is repeatable and every recording is taken under consistent conditions. Finally, ensure a quiet and stable acoustic environment: in a lab, an anechoic chamber is ideal; on a production line, a sound-insulation box is typically used to control ambient noise and keep measurements consistent. Figure 8: Anechoic Room Figure 9: Anechoic Chamber Model Development First, create a test sequence in SonoLab, select "Deep Learning" and apply the setting. Next, select the appropriate AI abnormal-noise algorithm module and its corresponding API Figure 10: Sequence Interface 1 Then open Settings and specify the model type, as well as the file paths for the training dataset and test dataset. Click Train and wait for the model to finish training (Training time depends on your PC's hardware) Figure 11: Sequence Interface 2 During training, the status indicator turns yellow. Once training is complete, it switches to green and shows a "Training completed" message. Figure 12: Sequence Interface 3 Finally, place your test WAV files in the specified test folder and run the sequence. The model will start automatically and output the analysis results. Test Case Figure 13:Test Environment Figure 14:Test Curve System Block Diagram Figure 15: System Block Diagram 1 Figure 16: System Block Diagram 2 Equipment More technical details are available upon request—please use the "Get in touch" form below. Our team can share recommended settings and an on-site workflow tailored to your production conditions.

A²B Microphone Testing: A Practical Measurement Setup and Workflow

As A²B microphones and sensors are increasingly adopted in automotive applications, the demand for reliable testing in both R&D and production is also growing. This article explains why A²B testing matters, highlights the advantages of A²B over traditional analog cabling in terms of interconnect and scalability, outlines key measurement KPIs (such as frequency response, THD+N, phase/polarity, and SNR), and presents a typical test-bench setup along with the corresponding solution configuration. Why A²B Microphone and Sensor Testing Matters In-cabin audio is no longer just "music playback". Modern vehicles depend on high-performance acoustic sensing for hands-free calling, in-cabin communication, voice assistants, ANC/RNC, and more—and these features increasingly rely on multiple microphones and even accelerometers deployed around the cabin. ADI notes that the rapid expansion of audio-, voice-, and acoustics-related applications is a key trend, and that new digital microphone and connectivity approaches are enabling broader adoption. To deliver consistent performance, teams need a test workflow that is repeatable across different node positions, harness lengths, and configurations—without turning every debug session into a custom project. The Interconnect Shift: From Shielded Analog Cables to Digital A²B Historically, scaling microphone counts often meant scaling shielded analog cabling, which adds weight, cost, and integration burden—sometimes limiting these features to premium vehicle segments. A²B (Automotive Audio Bus) addresses that interconnect problem by enabling a scalable, networked digital audio architecture with deterministic behavior—exactly what timing-sensitive acoustic applications need. Figures a and b show how such a design may be realized with the traditional analog and the digital A²B systems, respectively. Figure 1 (a) Analog system design with analog mic elements (shielded wires). (b) Digital system design with digital mic elements (A²B technology and UTP wires). What You'll Measure: Key A²B Microphone KPIs Frequency Response (FR) THD+N Phase / polarity (and channel-to-channel consistency for arrays) SNR AOP (if required by your program/spec) Typical Block Diagram-What the Bench Looks Like At CRYSOUND, we provide more than just the CRY580 A²B interface. We offer a full automotive audio testing solution, including audio acquisition cards, microphones and sensors, acoustic sources, custom fixtures, acoustic test boxes, and vibration shakers, delivering a complete and streamlined testing experience. Figure 2 Here's a description of the testing block diagram, including the use of the latest OpenTest Audio Test & Measurement Software https://opentest.com Solution BOM List The value of end-to-end delivery: reducing system integration time and minimizing coordination costs between multiple suppliers. We cover everything from R&D to production line testing. Figure 3 BOM list of the solution If you'd like to learn more about A²B testing, please fill out the Get in touch form below and we'll reach out shoutly.

CRYSOUND 10-Year Warranty for CRY3000 Series Sensors

Precision measurement is only as trustworthy as the tools behind it. At CRYSOUND, long-term reliability has always been part of how we support professional acoustic testing and metrology work—especially for equipment expected to perform consistently over many years. That’s why CRYSOUND provides a 10-Year Limited Warranty for eligibleCRY3000 series sensors offering long-horizon confidence for labs, manufacturers, and audio professionals who depend on stable performance. What the 10-year warranty covers This is a limited warranty focused on defects in materials or workmanship that occur under normal use, installation, and maintenance conditions. It is not a guarantee of fitness for a specific purpose. Eligible product categories (CRY3000 Series) The 10-year limited warranty applies to the following CRY3000 Series categories (traceable by product nameplate/serial number):Microphones Preamplifiers Microphone Sets Mouth Simulators Ear Simulators Ear Simulator Sets. Warranty term: 10 years (and what’s different) For the main product categories above, the warranty term is 10 years.Accessories/consumables (e.g., windscreens, cables, adapters, seals, replaceable pinnae, packaging) are covered under a 6-month warranty unless otherwise specified by contract or separate terms. When the warranty period starts The warranty period is calculated from the shipping/delivery date. If that date is unavailable, it is calculated from the end-user purchase date (with contract proof). If valid proof cannot be provided, CRYSOUND may use the factory date or the latest traceable serial-number record as the basis. What CRYSOUND will do for eligible defects If CRYSOUND confirms the issue is covered, we may provide one or more of the following: Free repair, including necessary parts and labor Replacement with the same model, or a model of equal or higher performance (new or certified refurbished/remanufactured) Customized/project products follow contract terms Repairs or replacements do not extend the original warranty period. Clear boundaries (typical exclusions) As a limited warranty, it excludes issues caused by misuse, drops/crushing, liquid ingress, corrosive environments, out-of-spec power/ESD/surge, improper installation/grounding/sealing/maintenance, unauthorized disassembly/modification, missing/altered serial numbers, normal wear/cosmetic changes, shipping/storage mishandling, or third-party compatibility problems (where applicable). Calibration note (important for metrology users) Because microphones and simulators are metrology instruments, slight drift can occur due to environment and measurement uncertainty. Unless drift is confirmed to be caused by a manufacturing defect, calibration/recalibration and certificate updates are typically not included for free (paid calibration/verification services may be available). Service logistics (shipping & service location) For in-warranty cases, users typically cover round-trip shipping to CRYSOUND/authorized service points. Cross-border service may involve duties or customs clearance fees unless otherwise agreed by contract. CRYSOUND will arrange the nearest service option based on region, product type, and spare-part availability. Warranty & Support To request warranty service or technical support, contact info@crysound.com (or reach out to your CRYSOUND sales contact). See the warranty policy on our website: https://www.crysound.com/warranty/

What Does “1000 V Isolation” Actually Isolate?

In many practical applications, data acquisition is not performed in an “ideal laboratory” environment. The device under test may be connected to mains power, distribution cabinets, frequency converters, or large electromechanical systems, while the acquisition card on the other side is connected via USB or Ethernet to a computer—sometimes operated directly by a person. These two sides are often not at the same electrical potential. If there is no effective electrical isolation inside the data acquisition card, this potential difference may propagate through signal lines, shields, or ground paths to the system side, leading to measurement distortion, interface malfunction, or even safety hazards. This is the fundamental reason why isolation exists in data acquisition systems. What Is the Isolation Rating of a Data Acquisition Card? In a data acquisition system, the isolation rating is not a simple voltage number, nor is it equivalent to “the voltage that the input can directly withstand.” It describes whether there is a reliable electrical isolation barrier between the measurement side (connected to sensors and the device under test) and the system side (connected to the host computer, communication interfaces, and power supply), and under what level of voltage stress this isolation remains valid. Isolation principle You can think of isolation as a bridge between two islands: The bridge allows information to pass—measurement data, digital communication, control signals. But it blocks dangerous currents—fault currents, ground-loop currents, and energy that could carry high potential to the host side. For this reason, isolation in data acquisition systems typically addresses both safety and measurement stability at the same time. Why Is Isolation Often More Important Than Accuracy Specifications? In many field applications, engineers do not encounter problems such as “insufficient resolution,” but instead: The same system works well in the lab, but noise increases dramatically on site. Once multiple devices are connected together, the data begins to drift. Replacing the computer or using a different power outlet suddenly makes the problem disappear. The common root cause behind these phenomena is often not algorithms or ADC performance, but rather improper handling of electrical potential relationships within the acquisition system. The value of isolation lies precisely here: by breaking unnecessary current loops and limiting the propagation paths of common-mode voltage and fault energy, isolation allows the acquisition system to behave in a controlled and predictable manner even in complex electrical environments. In industry discussions, the core values of isolation usually fall into three categories: signal integrity, safety, and instrument protection. Signal Integrity: Breaking Ground Loops and Improving Common-Mode Rejection Many cases of “inaccurate measurement” are not caused by ADC resolution, but by unwanted currents flowing through ground wires or shields. When the device under test and the host computer, enclosure, or other equipment are at different ground potentials, connecting them via signal cables may form ground loops. Power-line interference and electromagnetic noise then appear as “baseline noise” or ripple in the waveform. Isolation improves this by breaking the current loop paths. Safety: Confine High Potential and Fault Energy to the Measurement Side When measurement points are located near mains power, distribution cabinets, or frequency converters, the real risk is not merely “high voltage,” but where abnormal voltage or fault energy may propagate. If there is no clear electrical isolation between the measurement side and the host side, this energy may travel through signal or ground connections into the computer or communication interfaces, causing equipment damage or safety hazards. Isolation establishes a clear internal safety boundary: high potential and uncertain electrical environments are confined to the measurement side, while the system side—where the host computer and operator reside—remains within a controlled and safe potential range. If an abnormal condition occurs, the problem is contained on the measurement side and does not propagate further. Instrument Protection: A Larger Measurable Window Under High Common-Mode Voltage A non-isolated acquisition system effectively binds the measurement reference ground to system ground or earth. As a result, the measurable input range is centered around earth potential. If the entire signal shifts to a high common-mode potential, the front-end amplifier or ADC may exceed its allowable range or even be damaged. An isolated system allows the measurement reference to “float,” enabling the input measurement window to be centered around the isolated local ground. This permits operation under much higher common-mode voltages, with the ultimate limits determined by the isolation barrier and input protection circuitry together. Commonly Confused Isolation-Related Terms Isolation is often misunderstood because a single term—“isolation voltage”—is used to answer very different questions. The following clarifies these related but distinct concepts. Common-Mode Voltage Common-mode voltage refers to the voltage that is simultaneously applied to both measurement inputs relative to the acquisition system reference ground. It is not the signal of interest. The measurement signal concerns the difference between two input terminals, whereas common-mode voltage describes how high the two terminals are elevated together relative to ground. For example, in battery stacks or floating power systems, the signal itself may be only a few volts, but the entire source may be elevated tens or hundreds of volts above the acquisition card ground. In industrial environments, ground noise or electromagnetic interference may also impose time-varying AC voltage on both measurement leads. These “collectively elevated or oscillating voltages” constitute common-mode voltage. Working Voltage Working voltage is the voltage that can be continuously applied to a device over long periods. It is typically understood as the combination of measured voltage and common-mode voltage, and represents the condition under which the device can operate reliably over time. Withstand Voltage Withstand voltage refers to whether the isolation barrier can survive a very high voltage applied for a short duration without breakdown or damage. To verify this, a dielectric withstand (hipot) test is typically performed. During such a test, a voltage significantly higher than normal operating conditions is applied across the isolation barrier for approximately one minute. If no breakdown, abnormal leakage, or functional damage occurs, the isolation barrier is considered electrically robust. It is critical to note that withstand voltage does not indicate that the device can operate continuously at that voltage. It is a safety and quality verification metric, demonstrating that the insulation will not fail immediately under abnormal or extreme conditions. Input Overvoltage Protection Input overvoltage protection specifies the maximum allowable differential voltage between the positive and negative terminals of the same input channel. Exceeding this limit may damage the input circuitry. This is fundamentally different from isolation withstand voltage: Isolation withstand voltage applies between the measurement side and the system side. Overvoltage protection applies between the positive and negative terminals of the same channel. Measurement Category (CAT) Measurement category defines the severity of transient overvoltage that a measurement system may encounter in its electrical environment. Categories increase from CAT I to CAT IV: CAT I: Low-energy electronic circuits. CAT II: Household appliances and receptacle outlets, typically protected by indoor distribution panels. CAT III: Industrial distribution cabinets and environments with large motors, pumps, or compressors, subject to switching transients and inductive load surges. CAT IV: Outdoor power distribution points exposed to surges and lightning strikes. Pollution Degree Pollution degree describes environmental factors such as dust, moisture, and condensation that affect insulation surfaces. Higher pollution degrees reduce effective insulation performance, requiring higher baseline insulation strength. What Does "1000 V Isolation" Actually Mean? When a specification states “1000 V isolation,” three immediate questions must be asked, otherwise the number has no real comparability: Is it AC or DC? Is it Vrms, Vpk, or Vdc? Is it withstand voltage (short-term) or working voltage (long-term)? What exactly is isolated? Channel-to-ground? Channel-to-channel? Measurement side to USB/host side? The most important takeaway is this: “1000 V isolation withstand” does not automatically mean the system can continuously operate at 1000 V common-mode voltage, nor does it mean that 1000 V can be directly applied to the input. Continuous capability depends on working voltage, measurement category, input overvoltage protection, and the entire system chain including sensors, cables, and terminals. How Isolation Is Implemented: Isolation Barriers and Signal Transfer Methods Isolation is not simply “air separation,” but a combination of structure, materials, and signal-coupling mechanisms. Common isolation signal-transfer methods include: Inductive / Transformer-Based Isolation Inductive isolation transmits energy or information via magnetic fields rather than direct electrical conduction, fundamentally based on Faraday’s law of electromagnetic induction. Inductive isolation chip block Inside the chip, planar coils are fabricated on silicon or within the package, forming transformer-like structures. Transmitter side: current → coil → alternating magnetic field Receiver side: magnetic field variation → induced voltage → signal recovery Advantages include very high common-mode transient immunity (CMTI), high speed, low jitter, long-term stability, and excellent channel consistency. Disadvantages include higher power consumption and cost compared with capacitive isolation. Capacitive Coupling Capacitive isolation uses the “DC-blocking, AC-passing” property of capacitors to achieve voltage isolation, relying on electric-field variation within the dielectric. Capacitive isolation chip block Signal variation → electric-field variation → displacement current coupling Advantages include low power consumption, small die area, high integration, lower cost, and high speed. Disadvantages include higher sensitivity to common-mode dv/dt, stricter PCB symmetry requirements, and higher dependence on reference-ground layout. Optical Isolation Optical isolation uses light as the isolation medium, with air or transparent insulation providing physical separation. The principle is photoelectric conversion plus spatial isolation. Optical isolation chip block Electrical signal → LED emission → photosensitive device → electrical signal Advantages include simple structure, extremely high withstand voltage, good performance for low-frequency and switching signals, and strong EMC characteristics. Disadvantages include slower speed due to device latency, higher variability, and unsuitability for high-precision synchronous systems. Comparison of Isolation Technologies ItemInductiveCapacitiveOpticalWithstand voltage★★★★☆★★★☆★★★★★Transmission speed★★★★☆★★★★★★★Common-mode immunity★★★★★★★★☆★★EMI immunity★★★☆★★★★★★★★★Stability★★★★★★★★★★★Low power★★★★★★★★★★Suitable for DAQRecommendedRecommendedNot recommended A frequently overlooked but critical metric here is CMTI. In high dv/dt environments such as inverters, SiC/GaN power supplies, and motor drives, the issue is often not how high the static common-mode voltage is, but how fast it changes. Rapid high-voltage transients may couple through parasitic capacitances across the isolation barrier, disrupting or corrupting data transmission. Therefore, isolation must withstand not only voltage magnitude, but also voltage transition speed. Common Isolation Topologies in Data Acquisition Before asking whether a DAQ card is isolated, a more important question should be asked: where is the isolation applied? Different products may use entirely different isolation domains, resulting in very different capability boundaries and application suitability. Common DAQ isolation topologies include: Channel-to-system-ground isolation Bank (group) isolation Channel-to-channel isolation Channel-to-System-Ground Isolation Definition: Each channel (or group of analog front ends) is isolated from system ground and host ground, while channels typically share a common reference ground. Channel-to-system-ground This topology can: Break ground loops between the measurement side and the host side. Prevent high potential or fault energy from reaching the computer, USB, or network interface. Significantly improve stability when measurement and host grounds differ. The entire DAQ effectively “floats” with the device under test, while the host remains on the safe side. Suitable scenarios include industrial field measurements where all channels share the same potential. Bank Isolation Definition: Channels are divided into groups (banks). Each bank has its own isolation domain, with isolation between banks and between each bank and system ground. Bank isolation This topology allows multiple independent systems to be measured simultaneously while preserving multi-channel synchronization within each bank, balancing cost, size, and isolation capability. Channel-to-Channel Isolation Definition: Each channel has a fully independent isolation domain and reference ground. Channel-to-channel isolation Each channel effectively functions as an independent isolated acquisition system, suitable for battery stacks, distributed measurements, and scenarios with large inter-channel potential differences, at the expense of higher cost, size, and system complexity. Isolation Selection: From Parameters to Practical Judgment After understanding isolation concepts, topologies, and voltage ratings, the key question becomes: does a given isolation design truly fit the application? Many misjudgments arise from focusing on a single number such as “1000 V isolation” without clarifying where isolation is applied, for how long, and what additional protections are required. What Is Being Isolated, and Where Does the Isolation Occur? If all measurement objects belong to the same system and there is no potential difference between them, a Channel-to-System Ground Isolation data acquisition card should be selected. If the measurement objects belong to multiple different systems, but the measurement points within each system share the same ground reference, a Bank Isolation (group isolation) architecture should be selected. In this case, measurement points from different systems must not be connected to the same bank of the acquisition card. If all measurement objects belong to the same system but there are significant potential differences between them, a Channel-to-Channel Isolation data acquisition card should be selected. This is the prerequisite for evaluating all isolation-related parameters.If the isolation location is unclear, other voltage specifications are almost meaningless for comparison. Isolation Withstand Voltage of a Data Acquisition System At a minimum, the following information must be clearly specified:whether the voltage is AC or DC, the duration (typically a 1-minute withstand test), and only then the voltage value itself. If a data acquisition card specifies an AC isolation voltage of 1000 V, it means that an AC voltage with a peak value of ±1414 V is applied between the circuit grounds on both sides of the isolation barrier, and after 1 minute the leakage current remains below 0.1 mA. If a data acquisition card specifies a DC isolation voltage of 1000 V, it means that a +1000 V or −1000 V DC voltage is applied between the circuit grounds on both sides of the isolation barrier, and after 1 minute the leakage current remains below 0.1 mA.However, one must not assume that ±1000 V AC can be applied in this case—the two are not equivalent, because different devices have different withstand capabilities for AC and DC voltages. It should be emphasized that the withstand voltages discussed above are short-term withstand ratings. They do not mean that the device can operate continuously at a 1000 V common-mode voltage. They only indicate that the device will not be damaged under those conditions, not that normal operation is guaranteed. Maximum Common-Mode Operating Voltage This is the parameter that deserves particular attention when selecting a data acquisition card. In most cases, it refers to the long-term voltage difference between the measurement side and the system ground. For example, if we want to measure the current on a 220 V mains line, the corresponding common-mode voltage is: 220 V × 1.414 = 311 V Allowing at least a 50% margin, the data acquisition card should therefore support a maximum common-mode operating voltage greater than 466 V. If a specification sheet only provides isolation withstand voltage but does not clearly specify working voltage or maximum common-mode range, extreme caution is required in practical use. Input Voltage Range The input voltage range is also referred to as differential voltage. It defines how much voltage difference the input terminals of a channel can tolerate. The key question is what happens when this limit is exceeded:is the signal clipped, is the input shut down, or is permanent damage caused? This parameter determines whether the device can protect itself under wiring errors or abnormal conditions, or whether it will fail catastrophically. If the distinction between common-mode voltage and differential voltage is still unclear at this point, the following analogy may help. Measuring Across a River In the diagram, the person cannot approach the apple directly because of the river acting as an isolation barrier, so a caliper with an extended handle is used to measure the apple on the opposite bank. The 300 cm distance across the river corresponds to the common-mode voltage in the system, while the measurement range of the caliper (20 cm) corresponds to the differential voltage range. Isolation Structure of the SonoDAQ Module (Bank Isolation Example) After distinguishing between channel-to-ground isolation, bank isolation, and channel-to-channel isolation, as well as various isolation parameters, the next question for a specific product is: where exactly is the isolation boundary drawn? The following figure shows the isolation structure of a SonoDAQ module, illustrating the division of its isolation domains. SonoDAQ Module Isolation From the module structure, it can be clearly seen that SonoDAQ Pro adopts a bank isolation architecture (see Section 6.2). Each module is isolated from the host, while the four channels on each module are not isolated from each other. The module divides functionality and electrical domains into three parts: Measurement Side: Located on the left side of the module, directly connected to sensors and the device under test. This belongs to the measurement-side electrical domain and may be at a high or uncertain common-mode potential. Bank Isolation Domain: Located in the middle of the module, this is the primary isolation barrier between the measurement side and the system side. Multiple channels within the same bank share a common measurement-side reference ground and are collectively isolated from the system side through this isolation domain. As shown in the diagram, two types of isolation circuits are used: capacitive isolation for digital communication and magnetic (transformer-based) isolation for power. System Side: Located on the right side of the module, communicating with the host through the backplane. This side operates under system ground reference and connects to processors, communication interfaces, and the host computer. From Concept to Verification: Isolation Must Be Proven, Not Assumed Through the previous discussion, we have distinguished between differential and common-mode voltages and understood the respective roles of isolation withstand voltage, working voltage, and common-mode capability. While these concepts are not complex in specifications or standards, a more critical question remains in real engineering practice: Do these isolation boundaries actually hold under real-world conditions as the parameters suggest? For example, when the device under test operates at a high common-mode potential, the acquisition system must run online for extended periods, and the host computer and operators must always remain on the safe side. Simply “trusting a specification value” is far from sufficient. Rather than staying at the conceptual level, it is better to return to engineering practice. The following two experiments are not intended to demonstrate extreme parameter limits, but to address a more practical question. For this purpose, SonoDAQ Pro was selected as the test platform—not because of exceptionally high specifications, but because its isolation structure is clear and its boundaries are well defined, making it suitable for engineering-level isolation verification. The experiments are conducted from two perspectives: withstand voltage testing (hipot) and mains-powered incandescent lamp current measurement. Withstand Voltage Test (Hipot) Test objective: To verify that the isolation barrier can withstand high voltage under specified conditions without breakdown, providing an intuitive engineering verification result The general industry definition of dielectric withstand testing is to apply an elevated voltage across an insulation barrier for approximately 1 minute. Passing the test indicates that the insulation system has sufficient electrical strength under those conditions, while also clarifying the purpose and limitations of the test to avoid misinterpretation. Test equipment: WB2671 hipot tester Test conditions: 1000 V DC, duration 1 minute, leakage current threshold 0.1 mA Withstand Voltage Test Test Results 1.02 kV DC, duration 1 minute, leakage current = 0.03 mA, with no breakdown, flashover, or arcing observed. Explanation: SonoDAQ Pro adopts a bank isolation architecture, where the six slots are isolated from each other. Therefore, during testing, the hipot voltage was applied between Channel 1 of two adjacent modules. 220 V Mains Incandescent Lamp Current Measurement Experiment Test objective: To demonstrate how the data acquisition card can measure signals in a high-voltage system under real mains conditions, and to verify measurement correctness. Why an incandescent lamp? Its steady-state behavior closely resembles a resistive load, making current waveforms intuitive and easy to interpret. The cold filament has low resistance, producing a clear inrush current at power-on, which is suitable for demonstrating transient capture and trigger recording capability. 220 V Mains Incandescent Lamp Current Measurement Wiring In the diagram, the left side is the high-voltage area directly connected to the 220 V AC source. After all wiring is completed, the power plug is inserted. The right side contains the isolated data acquisition card, forming the low-voltage area. The computer and operator remain entirely on the safe side. The experiment used SonoDAQ Pro hardware with OpenTest software. The incandescent lamp was rated at 220 V / 60 W. The following photos show the setup before power-on (left) and after power-on (right). 220 V Mains Incandescent Lamp Current Measurement Test configuration: sampling rate 192 kSa/s, AC coupling for the input signal. The acquisition card directly measured the voltage across a 1.4 Ω shunt resistor. Using the “Record” function in OpenTest, the entire power-on and power-off process was recorded. Steady-State Current Waveform Steady-state current:Vrms = 386 mV → Irms = 386 / 1.4 = 275.7 mAFrequency f = 49.962 Hz Startup Transient Current Startup current:Vpeak = 2.868 V → Ipeak = 2.868 / 1.4 = 2.05 A Crest factor calculation:CF = Ipeak / Irms = 2.05 / 0.2757 = 7.44 Incandescent lamp power calculation:P = 220 V × 0.2757 A = 60.65 W Conclusion SonoDAQ Pro can accurately measure the operating current of an incandescent lamp connected directly to the mains without using a current transformer. This experiment does not merely verify whether mains signals can be measured; it verifies whether isolation can simultaneously ensure system safety and measurement accuracy when the device under test operates at a high common-mode potential over extended periods. Isolation Is Not a Parameter, but a Boundary Isolation is not “a single voltage value,” but rather defines where risk is confined and whether signals can still pass reliably. A reliable isolation solution is the result of structure, parameters, topology, and application scenario all being valid at the same time. To see more imformation about the SonoDAQ, please fill in the form below, and we will recommend the best solution to address your needs.

An Open Platform For Intelligent Sound Imaging

In the fields of acoustic research and industrial inspection, sound is no longer just a signal to be "heard",but information that can be "seen". How to visualize, analyze, and quantify sound has been a long-standing pursuit for research institutions and engineers alike. Today, leveraging its deep expertise in acoustics, CRYSOUND has launched the new SonoCam Pi product series—not just an acoustic camera, but an open acoustic platform, redefining the future of acoustic measurement and imaging. Making Acoustic Experiments Simpler And More Efficient In recent years, microphone arrays have been rapidly adopted in acoustic research. However, research institutions commonly face the following challenges: Traditional systems are expensive and offer a limited number of channels. Array design and algorithm development are complex and time-consuming. In-house array development lacks mature supply chains and integrated hardware-software support. To address these challenges, CRYSOUND leveraging nearly 30 years of expertise in acoustic testing and signal processing, has developed the SonoCam Pi platform—an affordable, open, and programmable acoustic solution. It enables researchers, engineers, and university students to enter the world of acoustic imaging and algorithm validation more quickly, flexibly, and cost-effectively. An Acoustic Development Platform For Research And Industry Hardware Highlights: Large Arrays & Multi-Geometry Adaptability 208-channel MEMS microphone array, supporting replacement and customization. Array diameters of 30 cm / 70 cm / 110 cm, enabling easy switching between near-field and far-field measurements. Wideband response from 20 Hz to 20 kHz, suitable for both precision lab testing and on-site measurements. Modular design, allowing rapid deployment and flexible expansion. SonoCam Pi product appearance Software Ecosystem: Open APIs & Algorithm Freedom Provides an API for 208-channel raw audio waveform data. Comes with a MATLAB acoustic imaging algorithm Demo App for rapid algorithm validation. Built-in acoustic imaging algorithms including Far-field Beamforming and Near-field Acoustic Holography. Supports secondary development, enabling users to build customized acoustic analysis tools. In short, SonoCam Pi is not just a hardware device—it is a complete platform for acoustic algorithm development and experimental validation. From Lab To Factory: Applications Of SonoCam Pi Acoustic Drone Detection Powered by array-based localization and identification algorithms, SonoCam Pi can accurately capture the acoustic signature of drones, enabling reliable low-altitude acoustic detection to support security monitoring and drone detection for site security. Drone detection Acoustic Research & Algorithm Development Research institutions can leverage SonoCam Pi's 208-channel raw-data API and MATLAB demo tools to rapidly validate research algorithms such as Far-field Beamforming and Near-field Acoustic Holography. Algorithm development Sound Propagation Path Analysis Supports directional analysis of both structure-borne and airborne sound propagation, helping researchers and engineers more intuitively understand the transmission mechanisms of noise sources. Sound propagation path analysis Automotive NVH Noise Inspection By combining beamforming and acoustic holography techniques, SonoCam Pi can quickly pinpoint interior and exterior noise sources, visualize acoustic radiation, and support NVH optimization as well as overall vehicle sound quality improvement. NVH research Open · Efficient · Intelligent: A New Start For Acoustic Research Whether for algorithm validation in university laboratories or noise diagnostics in industrial environments, SonoCam Pi has become a new-generation acoustic tool for both research and engineering practice, thanks to its outstanding performance, comprehensive ecosystem, and high level of openness. It makes acoustic measurement more portable, more intelligent, and more open—not only enabling users to see sound, but also empowering researchers to reshape the way sound is understood. SonoCam Pi is more than an acoustic camera; it is an acoustic application ecosystem platform. As technology and acoustic algorithms continue to evolve, CRYSOUND will keep advancing SonoCam Pi, enabling acoustic imaging to unlock new potential across more fields and working hand in hand with research and industrial users to explore the limitless possibilities of the acoustic world. If you'd like to learn more about the applications of CRYSOUND's SonoCam Pi, or discuss the most suitable solution for your needs, please contact us via the form below. Our sales or technical support engineers will get in touch with you shortly.

From A2DP Fundamentals to Bluetooth Audio Testing with CRY578

A2DP (Advanced Audio Distribution Profile) is the core Classic Bluetooth profile for high-quality audio streaming. This article provides an overview of how A2DP transmits music, explains its position in the Bluetooth protocol stack, and introduces a practical A2DP testing workflow using the CRY578 Bluetooth LE Audio Interface. How Does A2DP Transmit Music? A2DP is the core profile in Classic Bluetooth for the unidirectional transmission of high-quality audio streams. It primarily defines two roles: the audio Source and the audio Sink. A2DP and the Bluetooth Protocol Stack Thinking of A2DP as a high-speed logistics channel that "delivers" music from one device to another, the diagram above illustrates the division of responsibilities from the moment audio is generated to the point it is transmitted wirelessly. Figure 1 A2DP System Block Diagram At the top of the stack, the Application / Audio Source (or Audio Sink) layer acts as the "content factory" and "player". On the transmitting side, it obtains PCM audio data from the system and encodes it into Bluetooth-supported formats such as SBC or AAC. On the receiving side, it decodes the bitstream back into audio for playback. This layer directly determines the perceived audio quality—akin to the quality of raw materials and finished products—which users experience most intuitively. Below this is the A2DP Profile layer, which functions as a "cooperation agreement". It defines which device acts as the Source and which as the Sink, along with the supported codecs, sampling rates, and other parameters. The profile itself does not carry audio data; instead, it ensures both sides agree on "what format to use and how to transmit" before streaming begins. The next layer down is AVDTP, the "transport and scheduling control center". AVDTP is responsible for establishing and managing audio streams. It translates user actions—such as play, pause, and stop—into explicit protocol procedures and sends the encoded audio data over the media channel. The smooth operation of A2DP in practice largely depends on this layer. Below AVDTP is L2CAP, which acts as a standardized "containerized transport system". Both audio data and control information are segmented, encapsulated, reassembled, and multiplexed here. They are then delivered in an orderly fashion to the lower layers, ensuring stable and reliable transmission over a single Bluetooth link. At the bottom, the LMP, Baseband, and RF layers form the system’s “roads, vehicles, and radio infrastructure.” They handle device pairing, link management, and the actual wireless transmission, converting all upper-layer data into bitstreams over the Bluetooth air interface. Viewed from top to bottom, the A2DP protocol stack exhibits a clear downward flow: the upper layers focus on the audio content itself, while the lower layers handle wireless data delivery. This strict separation of responsibilities is what allows us to enjoy stable and continuous music playback through Bluetooth headphones. How to Test A2DP Functionality with CRY578? The CRY578 Bluetooth LE Audio Interface is CRYSOUND's latest test interface dedicated to Bluetooth audio and user-interface testing. Based on Bluetooth v5.4, the CRY578 supports both Classic Bluetooth and Bluetooth Low Energy audio simultaneously, making it suitable for use in both R&D laboratories and production-line testing. Building an A2DP Test Environment CRYSOUND provides a complete Bluetooth audio test solution, including both hardware and software, to support A2DP testing. In the CRYSOUND Bluetooth audio test system, the components are as follows: CRY578 acts as the Bluetooth Source, responsible for device discovery, connection, and audio transmission. DUT (Device Under Test) acts as the Bluetooth Sink, receiving, decoding, and playing the audio stream. B&K HATS simulates human acoustic characteristics, captures audio signals, and converts them into analog signals for the acquisition system. SonoDAQ + OpenTest (https://opentest.com) perform data acquisition and analysis, evaluating DUT performance based on the test results. Figure 2 Test System Block Diagram In this setup, the CRY578 can be controlled either via its PC software (Bluetooth LE Audio Interface) or through serial commands to scan for nearby Bluetooth devices and establish connections. Standard test signals—such as sweeps, noise, and distortion signals—are played from the PC. The acoustic output from the DUT is captured and analyzed by OpenTest to evaluate performance metrics such as frequency response, distortion, and signal-to-noise ratio. The CRY578 also supports switching to high-quality codecs such as AAC and LDAC, as well as multiple sampling rates, for comprehensive testing. A2DP Test Procedure Establish the Bluetooth Connection At the beginning of the test, a Bluetooth connection must be established between the CRY578 (acting as the A2DP Source) and the DUT (acting as the A2DP Sink). Figure 3 inquiry and connect The connection process includes device discovery and pairing, ACL link establishment, A2DP profile setup, and codec capability negotiation. Test Signal Generation from the Host PC Audio test software, such as OpenTest or SonoLab, generates standard signals like single-tone sine waves or sweeps. These signals are sent as PCM data to the CRY578 via a USB Audio Class (UAC) link. Figure 4 Test Scenario Audio Transmission via Bluetooth by CRY578 The continuous PCM audio stream is first segmented into fixed-size frames, which are then passed to an encoder (e.g., SBC or AAC) for compression, producing encoded frames. These frames are encapsulated into AVDTP media PDUs according to the A2DP specification. The PDUs are segmented and multiplexed by L2CAP, passed through the HCI interface to the Bluetooth controller, packaged as ACL packets at the baseband layer, and finally transmitted over the Bluetooth RF link. Decoding and Playback by the DUT The DUT performs the reverse process of the CRY578's transmission chain. The Bluetooth packets are decoded back into PCM data, which is then converted to analog signals by a DAC and output through the speaker. Acoustic Capture by B&K HATS The high-precision microphones built into B&K HATS capture the sound produced by the DUT and convert it into analog signals. Data Processing and Analysis with SonoDAQ + OpenTest SonoDAQ digitizes the analog signals and sends them to OpenTest. OpenTest then applies its internal algorithms to analyze the audio data and generate results—such as frequency response and distortion measurements. These results are then used to determine if the DUT meets the performance requirements. The Value of Bluetooth Protocol Analyzers in Testing During testing, audio data undergoes multiple digital-to-analog conversions, RF transmission, and acoustic-to-electrical conversion. An issue at any stage can affect the final test results. Once problems in the analog and digital signal paths have been ruled out, the root cause often lies in the Bluetooth RF transmission. In such cases, a Bluetooth protocol analyzer becomes an effective tool for pinpointing the exact issue. Figure 5 Capture Bluetooth packets using Ellisys If you are interested in Bluetooth audio testing, please visit CRY578 Bluetooth LE Audio Interface to learn more or fill out the Get in touch form below and we'll reach out shortly.

What are Sound Pressure, Sound Intensity, and Sound Power?

Sound is everywhere in our daily life: birdsong, street noise, engine roar, even the faint airflow from an air conditioner. For people, sound is not only about whether we can hear it, but whether it feels comfortable, is disturbing, or poses a risk. The same 70 dB can feel completely different; and when something feels "noisy", the cause may come from the source itself, the propagation direction, or reflections from the environment. When we turn this "perception" into quantifiable engineering data, the three most easily confused concepts are sound pressure, sound intensity, and sound power. They answer: Sound pressure: how loud it is at a specific point; Sound intensity: how much sound energy is propagating in a particular direction; Sound power: how loud the source is in terms of its total acoustic emission; This article explains sound pressure, sound intensity, and sound power in an intuitive way, so you can better understand sound. Sound Waves In engineering acoustics, sound pressure, sound intensity, and sound power are three fundamental and important physical quantities. Before introducing them in detail, we need the concept of a sound wave. A vibrating source sets the surrounding air particles into vibration. The particles move away from their equilibrium position, drive adjacent particles, and those adjacent particles generate a restoring force that pushes the particles back toward equilibrium. This near-to-far propagation of particle motion through the medium is what we call a sound wave. Figure 1. Propagation of a Sound Wave in Air Sound Pressure When there is no sound wave in space, the atmospheric pressure is the static pressure p0. When a sound wave is present, a pressure fluctuation is superimposed on p0, producing a pressure fluctuation p1. Here p1 is the sound pressure (unit: Pa). Therefore, sound pressure is the instantaneous deviation of the air static pressure caused by the sound wave. The human brain does not respond to the instantaneous amplitude of sound pressure, but it does respond to the root-mean-square (RMS) value of a time-varying pressure. Therefore, the sound pressure p can be expressed as: In practical engineering applications, the sound pressure level Lp: where Pref = 2 × 10-5 Pa is the reference sound pressure. In practice, we usually use sound pressure level (dB) to characterize sound pressure, rather than using pressure in pascals. Why? Figure 2 answers this well. From a library to the entrance of a high-speed rail station, sound pressure may increase by a factor of 100, while sound pressure level increases by only 40 dB. This reflects the difference between a linear scale and a logarithmic scale. From an engineering perspective, using sound pressure directly leads to large numeric variations that are inconvenient for evaluation. Moreover, the human auditory system is closer to a logarithmic response, so sound pressure level better matches hearing. Figure 2. Sound Pressure and Sound Pressure Level Sound Intensity Sound intensity describes the transfer of acoustic energy. It is the acoustic power passing through a unit area per unit time. It is a vector quantity that is directional, with units of W/m2, defined as the time average of the product of sound pressure and particle velocity: where v(t) denotes the particle velocity vector. Under the ideal plane progressive-wave approximation, sound pressure and particle velocity approximately satisfy: where ρ is the air density, c is the speed of sound. Therefore, the magnitude of sound intensity along the propagation direction can be written as: Similarly, sound intensity has a corresponding intensity level LI: where I0 = 10-12 W/m2 is the reference sound intensity. Compared with sound pressure level measurements, sound intensity measurements have the following characteristics: Directional:it can distinguish whether acoustic energy is propagating outward or flowing back, so under typical field conditions it is often less sensitive to reflections and background noise; Source localization:intensity scanning can directly reveal the main radiation regions and leakage points, making remediation more targeted; Higher system complexity:it typically requires an intensity probe, with higher overall cost and more setup and calibration effort; Figure 3. Sound Intensity Testing A key advantage of sound intensity measurement in engineering applications is that it characterizes both the direction and magnitude of acoustic energy flow. It can separate the contributions of outward radiation from the source and reflected backflow from the environment, so under non-ideal field conditions it tends to be less affected by reflections and background noise. In addition, the sound intensity method can obtain sound power directly by spatially integrating the normal component of intensity over an enclosing surface. Combined with surface scanning, it can identify dominant source regions and locate leakage points. Therefore, it is highly practical and interpretable for noise diagnosis, verification of noise-control measures, and sound power evaluation. The key instrument for sound intensity testing is the sound intensity probe. Unlike a single microphone, an intensity probe is not used merely to measure “how large the pressure is”; it must provide the basic quantities required for calculating intensity (sound pressure and particle velocity). Therefore, the probe typically outputs two synchronous channels and, together with a two-channel data-acquisition front end and dedicated algorithms, yields intensity results. In engineering practice, the probe often includes interchangeable spacers, positioning fixtures, and windshields. Channel amplitude/phase matching, phase calibration capability, and airflow-interference mitigation directly determine the credibility and usable frequency range of intensity measurements. Two types of sound intensity probes are commonly used: P-U probes (pressure-particle-velocity) and P-P probes (pressure-pressure). A P-U probe consists of a microphone and a velocity sensor, measuring sound pressure p(t) and particle velocity v(t) simultaneously. The principle is more direct, but particle-velocity sensors are often more sensitive to airflow, contamination, and environmental conditions, requiring more protection and maintenance in the field and usually costing more. Figure 4. P-U Sound Intensity Probe (Microflown) A P-P probe uses two matched microphones aligned on the same axis. It uses the two pressure signals p1(t) and p2(t) to estimate the particle-velocity component v(t). However, it is sensitive to inter-channel phase matching and the choice of microphone spacing - the spacing determines the effective frequency range: a larger spacing benefits low frequencies, but high frequencies suffer from spatial sampling error; a smaller spacing benefits high frequencies, but low frequencies become more susceptible to phase mismatch and noise. Figure 5. P-P Sound Intensity Probe (GRAS) P-U probes are relatively niche, mainly because it is difficult to make them both stable and inexpensive, and they generally have poorer resistance to airflow. P-P probes, thanks to their good field robustness and the ability to adjust bandwidth flexibly via microphone spacing, are currently the mainstream choice in engineering applications. Sound Power Sound power W is the rate at which a source radiates acoustic energy, with units of watts (W). For any closed measurement surface S enclosing the source, the sound power equals the integral of the normal component of sound intensity over that surface: where n is the unit normal vector pointing outward from the measurement surface. Sound power level Lw is defined as: where W0 = 10-12 W is the reference sound power. Figure 6. Sound Power Measurement Sound power characterizes a source's inherent acoustic emission capability: the total acoustic energy it radiates per unit time. It has little to do with measurement distance or microphone position, and ideally does not depend on how "loud" it is at a particular point in a room. This is fundamentally different from sound pressure and sound intensity. To better understand sound pressure, sound intensity, and sound power, you can imagine noise as water flow. Sound pressure is like the "water pressure" you feel when you put your hand at a certain location (it changes with distance to the nozzle, direction, and the shape of the basin). Sound intensity is like the instantaneous "direction and rate of flow" (it has direction and can even be reflected by walls, creating backflow). Sound power is like "how much water the nozzle sprays per second" - it is a property of the nozzle itself. In measurement, it is obtained by integrating the outward normal flow over a surface surrounding the device. Figure 7. Analogy of Sound Pressure, Sound Intensity, and Sound Power In real projects, the algorithms for sound pressure, sound intensity, and sound power are relatively mature. The hardest part is acquiring the signals accurately and obtaining results quickly. In particular, tasks such as multi-channel microphone arrays, sound intensity, and sound power impose three hard requirements on the data-acquisition front end: low noise and wide dynamic range, strict synchronization and phase consistency, and stable on-site connections and power. SonoDAQ + OpenTest is positioned to provide a "front-end acquisition + synchronous analysis" foundation for engineering acoustics, allowing engineers to focus more on operating-condition control and data interpretation. It delivers the most value in the following types of projects: Sound intensity diagnostics: dual-channel synchronous sampling plus better amplitude/phase consistency management provide a more stable data basis for P-P intensity probes and intensity scanning. Microphone array systems: better aligned with engineering deployment needs in channel scalability, synchronization, and cabling, making it suitable for building expandable distributed test platforms. Sound power and standardized testing: helps engineers quickly lay out measurement points, covering multiple international sound power test standards. With guided configuration, one-click testing, and automatic report export, it saves substantial time and effort for engineers. Figure 8. SonoDAQ + OpenTest To see more clearly how SonoDAQ is connected and configured, typical application cases (such as equipment noise evaluation, sound source localization, and sound power testing), and commonly used BOM lists, please fill in the form below, and we will recommend the best solution to address your needs.

Detect Valve Leakage with Contact Ultrasound

Valves are the "core control components" of pipeline systems. They perform four key functions—opening/closing, regulating, isolating, and directing—enabling precise control of fluid flow. Once sealing integrity fails, minor cases can lead to process upsets and energy losses, while severe cases may result in fires or explosions, toxic exposure, or environmental pollution. We built a valve leak application around the three things customers care about most on site—fewer missed detections and false alarms, better localization, and more reliable leak-rate estimation—by distilling them into an executable, traceable standardized workflow and closing the loop in the application for end-to-end deployment. Common Causes of Valve Internal Leakage What leads to valve leakage? We summarize it into the following four main causes: Normal wear and tear: Frequent opening and closing gradually wears the sealing surfaces; long-term scouring and erosion from the flowing medium can also degrade the seal fit. Process medium factors: Sulfur compounds and similar components in the medium can cause electrochemical corrosion; residual construction contaminants—such as sand, grit, and particles—can accelerate wear and scratch the sealing surfaces, leading to poor sealing. Improper operation and maintenance: Using an on/off valve for throttling, lack of routine cleaning and preventive maintenance, inadequate servicing, or improper/unsafe operation can all damage sealing surfaces or prevent full closure. Installation and management issues: Outdoor storage exposed to rain, ingress of mud and sand, and sandblasting/field conditions introducing grit or debris into the valve cavity can contaminate and scratch sealing surfaces, ultimately causing internal leakage. Figure 1. Illustration of Valve Internal Leakage When a valve is closed but the sealing surfaces do not fully mate, the pressure differential drives the medium to pass through small gaps from the high-pressure side to the low-pressure side, forming high-velocity micro-jets and turbulent flow. This leakage typically results in several observable signs, including sound/ultrasound, vibration, abnormal pressure behavior, and temperature anomalies or frosting. Figure 2. Symptoms of Valve Leakage Why Contact Ultrasound Works When a valve seal fails, high-pressure fluid passing through tiny gaps at the sealing surfaces generates turbulent flow, producing high-frequency ultrasonic signals in the 20–100 kHz range. The signal intensity is generally positively correlated with the leak rate—the larger the leak, the higher the amplitude. In the field, you can capture ultrasonic signals at measurement points upstream of the valve, on the valve body, and downstream, then apply algorithms to extract and analyze signal features to detect and localize internal leakage. Compared with traditional methods, temperature-based approaches are easily affected by heat conduction and are difficult to quantify; pressure-hold tests are time-consuming and poor at pinpointing the leak location; and listening by ear is inefficient, prone to missed detections and false alarms, and heavily dependent on individual experience. That's exactly why we launched this application—turning an experience-driven task into a standardized, process-driven workflow, supported by acoustics and data analytics. Figure 3. CRY8124 Acoustic Imaging Camera with IA3104 Contact Ultrasound Sensor Workflow and Key Capabilities More standardized workflow: turning on-site operation into guided testing In the CRY8124 valve leak application, the software features a standardized and visualized workflow. Operators follow on-screen prompts to place the contact ultrasound sensor on each measurement point in sequence and simply tap "Test". The results are displayed on the interface, and the algorithm automatically determines whether internal leakage is present after the test. Figure 4. Valve Leakage Detection Feature Page At the same time, the software provides standardized inputs for key parameters such as valve ID, valve type, valve size, medium type, and the upstream/downstream pressure differential. This means test results are easier to align across the same unit, different shifts, and different operators—making retesting and trend management much more consistent. Figure 5. Valve Leakage Detection Feature Page Smarter: automatic diagnosis + leak-rate estimation Our valve leak detection capability focuses on two key improvements: By analyzing the dB level at each measurement point and the features of the ultrasonic signal, the system automatically determines the internal leakage result based on algorithmic data, reducing reliance on manual interpretation. Built-in AI algorithms estimate the leak rate from ultrasonic features at the measurement points, providing a quantitative reference to support valve maintenance decisions. This is the core logic behind our emphasis on a "higher detection rate": when judgments rely less on subjective experience, missed detections and false alarms become far more controllable—especially in complex sites with many valves and multiple parallel branches. Application Scenarios Across different industries, there is a common need for valve leak detection: Figure 6: Application Scenarios Field Case Study Case : A Coal-to-Chemicals Plant in Inner Mongolia (Fuel Gas / Coal Gas System) Below is a real field test case of valve leak at a coal-chemical plant. Any internal leakage in fuel gas or coal gas systems can compromise isolation. If leakage exists, the downstream side may remain gas-charged, and the work area may still be exposed to risks of CO and sulfur-containing acid gases entering the zone—potentially leading to poisoning, fire, or even explosion hazards. Using contact ultrasonics, we performed on-site testing on the suspected valves, quickly identified the leakage points, and estimated the leak rate. This helped the customer turn "isolation confirmed" from an experience-based judgment into data-backed verification, prioritize corrective actions, reduce work risks caused by misjudged isolation, and ensure safer maintenance and stable operation. Figure 7. On-site Test Photos Valve type: Fuel gas compressor room bypass valve (butterfly valve). Test result: 19.8 L/min. Medium / pressure: Fuel gas (H₂, CO, CH₄), 3 MPa. Figure 8. Test Results Valve type: Fuel gas compressor room plug valve Test result: 1.7 L/min. Medium / pressure: Coal gas (mainly CO), 2.5 MPa. Figure 9. Test Results On-Site Test Method: Repeatable 5-Point Measurements Confirm Operating Conditions Ensure there is a pressure differential, and isolate interfering branches as much as possible. Key steps Close the valve to be tested. Open the upstream and downstream valves of the test section. Confirm a pressure differential between upstream and downstream gauges, and verify ΔP > 0.1 MPa. As shown in the figure below When testing Valve A for valve leakage: open Valves B and C, and close Valves A and D. When testing Valve B for valve leakage: open Valves A and C, and close Valves B and D. Figure 10. Valve Status Place Measurement Points (MP1–MP5) Cover upstream → valve core → downstream. MP3: Located at the valve core. MP2: Located 1–2 pipe diameters (D) upstream of the valve (place the point on the pipe wall away from the valve). MP1: Located upstream of the valve, 2–3D away from MP2. If space is limited, MP1–MP2 spacing can be shortened to 0.5D. MP4: Located 1D downstream of the valve (place the point on the pipe wall away from the valve). MP5: Located downstream of the valve, 1–2D away from MP4 (recommended on the pipe wall just after the valve flange). If space is limited, MP5–MP4 spacing can be shortened to 0.5D. D = pipe diameter Figure 11. Test Point Layout NoteFor small, flangeless threaded valves, the spacing between measurement points should be at least three pipe diameters (3D). Fugure12. Test Point Layout FAQ We've listed some common scenario-based questions about valve internal leakage to help you understand the application faster and choose the right solution more efficiently. Q1. How do I choose a Contact Ultrasound Sensor for pipelines at different temperatures? A1. We recommend the following sensor selection based on pipe surface temperature: For low-temperature pipes (below -20°C) or high-temperature pipes (above 50°C), use a needle-type Contact Ultrasound Sensor. For temperatures between -20°C and 50°C, use a ceramic Contact Ultrasound Sensor for signal capture. Q2. Which valves can be tested for valve leakage? A2. This method is suitable for valve leakage detection across a wide range of valve types, including: Gate valves Plug valves Globe valves Ball valves Check valves Butterfly valves Needle valves Pressure relief valves Pinch valves If your valve type is not listed above, please feel free to contact us. Q3. Can we still test if the valve and pipe are insulated? A3. If the insulation fully covers the valve and pipeline, testing may not be possible. You'll need to remove the insulation at the measurement area, or leave an opening of about 7 cm in diameter so the Contact Ultrasound Sensor can directly contact the pipe wall to capture the signal. Q4. What should we pay attention to regarding the pipe surface during data collection? A4. The Contact Ultrasound Sensor must make good contact with a solid surface to reliably capture ultrasonic signals propagating through the pipe. Large particles or debris between the sensor and the pipe surface can lead to inaccurate results. If the pipe wall is rusty, wipe off any large dust or loose particles on the surface before testing. Contact Us If you'd like to learn more about how CRYSOUND acoustics can be applied to valve leak detection, or if you want a more suitable inspection solution based on your on-site process conditions and acceptance criteria, please contact us via the form below. Our engineers will get in touch with you.
Sound Level Meter

OpenTest Multi-Channel IEC 61672-1 Sound Level Meter

This article presents a multi-channel sound level meter developed on the OpenTest platform and designed to meet the technical requirements of IEC 61672-1. By integrating the SonoDAQ data acquisition system with measurement-grade microphones, the system implements standard A/C/Z frequency weightings, F/S/I time weightings, and enables accurate measurement of standard acoustic quantities such as Lp, Leq, and Ln. The solution is applicable to a wide range of scenarios, including environmental noise monitoring, product noise testing, and automotive NVH applications. From Handheld Sound Level Meters to Multi-Channel Sound Level Measurement Platforms In acoustics and vibration testing, one fundamental question appears in almost every project: “How loud is it?” From office equipment and household appliances to automotive NVH and industrial machinery, regulations, standards, and internal quality criteria all rely on quantitative evaluation of Sound Pressure Level (SPL). Traditionally, this is done using a handheld sound level meter compliant with IEC 61672, placed at a specified position to read an A-weighted sound level for compliance checks and quality verification. IEC 61672 defines detailed requirements for sound level meters in terms of frequency weighting, time weighting, linearity, self-noise, and dynamic range, and classifies instruments into Class 1 and Class 2, with Class 1 having stricter requirements and being suitable for laboratory and type-approval testing. As product structures and test requirements evolve, engineers increasingly expect more than what a single handheld meter can offer: Measure multiple positions simultaneously to compare different locations or operating points Combine sound level data with spectra and octave-band analysis to quickly identify problematic frequency regions Synchronize sound level measurement with speed, vibration, temperature, and other physical quantities for NVH diagnostics Integrate sound level measurement into automated and batch test workflows, rather than relying on manual spot checks This leads to the demand for multi-channel sound level meters: systems that not only meet IEC 61672-1 Class 1 accuracy requirements, but also provide multi-channel capability, scalability, and automation. OpenTest, developed by CRYSOUND, is a new-generation acoustic and vibration test platform. Its dedicated Sound Level Measurement module, combined with CRY5820 SonoDAQ Pro front-end hardware and measurement microphones, enables multi-channel sound level measurements consistent with Class 1 sound level meters. Figure 1. From handheld sound level meters to multi-channel sound level measurement platforms IEC 61672: What Are We Actually Measuring? Meaning of Sound Pressure Level (Lp) Sound Pressure Level (SPL) is a logarithmic measure of the root-mean-square sound pressure prms​ relative to the reference pressure p0​, which is 20 μPa in air, defined as: When prms​=1 Pa, the SPL is approximately 94 dB, which is why 94 dB / 1 kHz is commonly used as the reference level for acoustic calibrators. Frequency Weighting: A / C / Z Human hearing sensitivity varies with frequency. IEC 61672 requires all sound level meters to support A-weighting, while Class 1 instruments must also support C-weighting. Z-weighting (Zero weighting, i.e. flat response) is optional. A-weighting (dB(A))Based on the 40-phon equal-loudness contour, with significant attenuation at low and very high frequencies. It is widely used in regulations and standards as an indicator correlated with perceived loudness. C-weighting (dB(C))Much flatter than A-weighting, with less low-frequency attenuation. It is suitable for evaluating peak levels, mechanical noise, and high-level events. Z-weighting (dB(Z))Essentially flat within the specified bandwidth, preserving the original spectral energy distribution, and useful for detailed analysis. While A-weighting dominates regulations, it is not a perfect psychoacoustic model. In cases involving strong low-frequency content, modulation, or tonal components, A-weighted levels may underestimate perceived annoyance.For design and diagnostic work, it is therefore recommended to combine C/Z weighting, octave-band spectra, and sound quality metrics. Time Weighting: Fast / Slow / Impulse IEC 61672 defines the following time weightings: F (Fast): time constant ≈ 125 ms, suitable for rapidly fluctuating sound levels S (Slow): time constant ≈ 1 s, suitable for observing overall trends I (Impulse): designed for impulsive signals, more sensitive to short-duration peaks Common sound level descriptors include: LAF / LAS / LAI: A-weighted sound levels with Fast / Slow / Impulse time weighting LCpeak: C-weighted peak sound level Energy-Based and Statistical Quantities: Leq, SEL, Ln IEC 61672 also defines commonly used acoustic quantities: Leq,T / LAeq,TEquivalent continuous sound level over a time period T, widely used in environmental and product noise evaluation. Sound exposure and sound exposure level: E, LE / LAE (SEL)Represent the total sound energy of an event, commonly used for aircraft, traffic, and single-event noise evaluation. Lmax / Lmin: Maximum and minimum sound levels under a specified time weighting Lpeak (typically LCpeak): Peak sound level based on peak sound pressure Statistical levels Ln (L10, L50, L90, etc.)Levels exceeded for n% of the measurement time, commonly used in environmental noise analysis. Band Levels: Octave and 1/3-Octave Bands Although octave-band filters are specified in IEC 61260, IEC 61672 aligns with them in terms of frequency response and standard center frequencies. Common analyses include: 1-octave band levels (e.g. 31.5 Hz–16 kHz) 1/3-octave band levels, offering finer frequency resolution for identifying narrow-band noise and structural resonances Together, these quantities define the full scope of sound level measurement—from instantaneous readings to time-averaged values, and from broadband levels to frequency-resolved analysis. Sound Level Measurement with OpenTest Setup: Building the Signal Chain from Source to Software Hardware Preparation Data acquisition front-endFor example, CRY5820 SonoDAQ Pro, a modular multi-channel data acquisition system supporting 4–24 channels per unit and scalable to thousands of channels. It features 32-bit ADCs, up to 170 dB dynamic range, 1000 V channel isolation, and ≤100 ns PTP/GPS synchronization accuracy, suitable for both laboratory and field acoustic and vibration testing. SensorsOne or more measurement-grade microphone sets (with preamplifiers), positioned at representative measurement or listening locations. Computer and softwareA PC with OpenTest installed and the Sound Level Measurement module licensed. Connecting Devices and Channels in OpenTest Launch OpenTest and create a new project. In Hardware Settings, click “+”; available devices (including those connected via openDAQ or ASIO) are automatically detected. Select the required acquisition devices (e.g. SonoDAQ) and add them to the project. In Channel Settings, add the microphone channels and configure sampling rate and input range. At this point, the signal chain Sound source → Microphone → DAQ → OpenTest is fully established. Calibration: Setting the Acoustic Reference To ensure absolute accuracy, each channel must be calibrated using a Class 1 acoustic calibrator. Open the Calibration dialog in OpenTest. Select the microphone channels to be calibrated. Mount the calibrator on the microphone and start calibration. Once the reading stabilizes, complete the calibration. OpenTest automatically updates the channel sensitivity so that the 94 dB SPL reference point is aligned. For comparison tests, a handheld sound level meter (e.g. CRY2851) can be calibrated using the same calibrator (e.g. CRY3018) to ensure both systems share the same acoustic reference. Measurement: Acquiring Sound Level Time Histories Switch to the Sound Level Meter module in OpenTest and select: Measurement channels Quantities to compute (Lp, Leq, Ln, etc.) Frequency weighting (A / C / Z, computed simultaneously) Typical operating conditions may include: Idle Typical load Full load For each condition: Stabilize the DUT at the target operating state. Start measurement in OpenTest. Monitor sound level time histories, octave-band plots, and FFT spectra in real time. Stop after sufficient duration and name the dataset accordingly. Each measurement is automatically saved as a dataset for later comparison and analysis. Figure 2. Multi-channel sound level measurement using OpenTest Reporting: From Data to Traceable Documentation After measurements, OpenTest’s reporting function can be used to generate structured reports: Project information, DUT details, operating conditions Selected acoustic quantities (Leq, Lmax, LCpeak, Ln, etc.) Company logo and test personnel information Raw waveforms and analysis results can also be exported for archiving or further processing. Figure 3. OpenTest sound level measurement report Comparison with CRY2851 Handheld Sound Level Meter CRY2851 is a Class 1 sound level meter compliant with IEC 61672-1:2013, supporting A/C/Z weighting, F/S/I time weighting, and a full set of acoustic parameters. Comparison procedure: Environment and operating conditionsLow-background laboratory or semi-anechoic room; multiple operating states. Calibration consistencyBoth systems calibrated with the same Class 1 calibrator (94 dB or 114 dB at 1 kHz). Sensor placement and acquisitionMicrophones positioned as closely as possible at the same measurement point. Result comparisonCompare LAeq, LAF, LCpeak, and other key parameters under identical weighting and time windows. Figure 4. CRY2851 vs. OpenTest multi-channel sound level measurement Typical Applications of the Sound Level Measurement Module Consumer Electronics / IT Equipment Evaluate the impact of cooling strategies on LAeq and LAFmax Combine sound level limits with sound power measurements Integrate FFT, 1/3-octave, and sound quality metrics Automotive NVH / Interior Acoustics Multi-position sound level measurement in the cabin Comparison across driving conditions Coupling with order analysis and sound quality modules Household Appliances and Industrial Machinery Supplement sound power tests with multi-point sound level monitoring Integrate into production lines using sequence mode Identify problematic frequency bands via 1/3-octave analysis Environmental and Long-Term Monitoring Multi-point statistical sound level evaluation (L10, L50, L90) Long-term data logging and remote access If you are already familiar with handheld sound level meters, the OpenTest Sound Level Measurement module effectively upgrades them into a system that is: Multi-channel Traceable (raw data + analysis + reports) Expandable, working seamlessly with sound power, sound quality, FFT, and octave-band analysis modules, and supporting automated test workflows. Welcome to fill in the form below ↓ to contact us and book a demo and trial of the OpenTest Sound Level Meter module. You can also visit the OpenTest website at www.opentest.com to learn more about its features and application cases.

Prepolarized vs. Externally Polarized Microphones

In acoustic testing, acoustic metrology, and product noise evaluation, the term measurement microphone typically refers to a condenser measurement microphone. Its signal generation relies on a polarization electric field: sound pressure changes the capacitance, and the front-end circuitry converts this change into an electrical signal. Depending on how the polarization field is provided, measurement microphones generally fall into two categories: externally polarized (polarization high voltage supplied by the measurement system, typically 200 V) and prepolarized (an internal electret provides the equivalent polarization, so no external high voltage is needed). Both can deliver high-precision measurements; the key to selection is system compatibility, environmental constraints, and maintenance cost. This article first explains how prepolarized and externally polarized microphones work and differ. It then compares power/front-end compatibility, noise and dynamic range, environmental robustness, and long-term stability. Next, it gives selection tips by scenario (metrology, approval tests, field, multichannel). It ends with a quick decision checklist. System Requirements Externally Polarized An externally polarized microphone requires a dedicated polarization unit / microphone power supply (provides 200 V polarization) to provide a stable polarization voltage (commonly 200 V) and to match the preamplifier interface (often 7-pin LEMO).This signal chain is closer to traditional metrology setups and is commonly used in laboratories and traceable calibration scenarios. Figure 1. Externally Polarized Microphone Structure Diagram Figure 2. Externally Polarized Microphone Set Prepolarized A prepolarized microphone uses an internal electret to provide equivalent polarization, so no external polarization voltage is required.System integration is simpler, making it well-suited for field work, mobile testing, and multi-channel distributed deployments. IEPE interfaces are widely used and broadly compatible; many data acquisition devices provide built-in IEPE inputs, which can significantly reduce overall equipment cost. (IEPE is the international term; some companies also refer to it as CCP or ICP.) Figure 3. Prepolarized Microphone Structure Diagram Figure 4. Prepolarized Microphone Set Engineering Trade-offs From an engineering application perspective, the main differences are: System compatibility: Externally polarized microphones depend on 200 V polarization and specific front-end/interfaces; prepolarized microphones place fewer requirements on the front-end and enable more flexible integration. Environmental robustness: High humidity, condensation, dust, oil mist, and similar environments can amplify insulation and leakage issues; prepolarized microphones often achieve more stable results. For high-temperature applications, carefully verify the model’s temperature limit and long-term drift data; externally polarized microphones are more commonly used where high-temperature stability and metrology-grade requirements are prioritized. Deployment and maintenance: Prepolarized solutions avoid high-voltage risk, deploy faster, and typically cost less at scale. Externally polarized setups demand higher standards for cleanliness, insulation, connector reliability, and troubleshooting capability. Selection Guidelines Front-End and Power Architecture If your existing front-end natively supports 200 V polarization and you have long used that metrology signal chain, prioritize externally polarized microphones to minimize retrofit effort and compatibility risk. If your front-end does not support polarization high voltage, or your system is mainly based on constant-current powering (e.g., CCLD/IEPE), prioritize prepolarized microphones for higher deployment efficiency and broader compatibility. Environmental Constraints (Humidity / Contamination / Temperature) For high humidity, condensation, dust, or oil mist in the field: prioritize prepolarized microphones or models with protective designs, and pay close attention to connector and cable protection. For high temperature or thermal cycling: base the choice on datasheets and stability data. Both externally polarized and high-temperature prepolarized models may be suitable, but you must verify the temperature limit and drift specifications. Align the Key Performance Targets Low-noise measurement: focus on equivalent self-noise, front-end noise, cable length, and shielding/grounding strategy. High SPL / shock measurement: focus on maximum SPL, distortion, overload recovery, and front-end input headroom (capsule size selection is often more critical than polarization method). Consistency / traceability: focus on calibration system, long-term drift, temperature coefficient, and maintenance interval. Budget and Total Cost of Ownership If budget is tight, channel count is high, or you need rapid scaling: prioritize prepolarized microphones. Without external polarization high voltage, the measurement chain is simpler and total investment is usually lower. If an externally polarized chain is required: include the external polarization power supply/adapter as a mandatory budget item. In addition to the microphone and preamplifier, a stable 200 V polarization supply is required, and the polarization supply can be costly. For multi-channel deployments, total cost rises significantly with channel count. If the laboratory already has sufficient channels of external polarization supplies, the incremental cost can be much lower. Conclusion There is no absolute “better” option between prepolarized and externally polarized microphones. A more reliable engineering approach is to first define the measurement chain and environmental constraints, then finalize the model selection using key metrics such as noise, dynamic range, consistency, and traceability. You are welcome to learn more about microphone functions and hardware solutions on our website and use the “Get in touch” form to contact the CRYSOUND team.

Automotive HVAC Air Vent EoL Test Case

This integrated single-station EoL test solution enables automotive HVAC air vent suppliers to perform NVH (noise/BSR), motor electrical testing, and vane presence detection in a single inspection step, helping to improve overall test efficiency and reduce labor dependency. System Block Diagram of the Automotive HVAC Air Vent Test Solution Modern automotive HVAC air vent assemblies increasingly integrate multiple drive motors, multi-row vanes (louvers), and smart features such as automatic airflow control and voice interaction. As a result, upstream process variation or assembly defects can translate directly into vehicle-level concerns—typically perceived as abnormal noise, buzz/squeak/rattle (BSR), airflow direction mismatch, or reduced airflow caused by missing/misassembled vanes. To reduce rework and prevent customer complaints, suppliers increasingly require 100% end-of-line (EoL) testing on the production line, covering NVH (noise/BSR), motor electrical testing, and vane presence detection. CRYSOUND Single-Station EoL Test Solution CRYSOUND’s automotive HVAC air vent EoL test solution enables customers to perform single-station, 100% testing of noise/BSR, motor electrical testing, and vane presence detection. The solution integrates CRYSOUND’s in-house hardware and software, CRY3203-S01 measurement microphone set, SonoDAQ, CRY7869 acoustic test box, and OpenTest. And it combines electroacoustic measurement with abnormal noise analysis (sound quality and AI-based algorithms) to identify noise/BSR issues that FFT and Leq may miss. It also integrates motor electrical testing and vane presence detection, enabling one-time clamping and a single OK/NG decision within the same sound-insulated EoL station. Schematic of the HVAC Air Vent Test Fixture Customer Results: Efficiency, Labor, and Quality Gains Replaced manual listening with machine-based detection, enabling unified criteria with quantitative, traceable results. One fixture, three test positions: supports parallel or mixed testing of left/center/right dashboard air vents, improving efficiency by >100%. Variant support via fixture changeover: reuse the same test station across different products, reducing repeated capital investment. One-operator, one-click inspection: a single line can save 1–2 long-term operators. EoL Test Equipment for Automotive HVAC Air Vent Typical Target Users This solution is designed for suppliers of motorized air vents and other motor-driven interior components,such as Valeo S.A.,Ningbo Joysonquin Automotive Systems Co., Ltd. and Jiangsu Xinquan Automotive Trim Co., Ltd. Main Hardware and Software Configuration ProductQty.NoteCRY3203-S01 Measurement Microphone Set1Measurement Microhone SetCRY5820 SonoDAQ Pro1Audio AnalyzerCRY7869 Acoustic Test Box1Test EnvironmentOpenTesthttp://www.opentest.com1SoftwareFixture1CustomizablePC & Monitor1(Optional) Feel free to fill in the form below ↓to contact us. Our team can share application-specific EoL testing recommendations based on your automotive HVAC air vent requirements.

Sound Level Meter Buying Guide

In industrial production and environmental monitoring, excessive noise implies compliance risks or potential complaint disputes. To handle this, you need a professional sound level meter (SLM) that provides "credible, traceable, and analyzable data." Faced with price differences ranging from hundreds to tens of thousands of dollars, and a complex array of parameters, how do you choose without making costly mistakes? We have distilled the complex selection process into a "4-Step Decision Method" to help you quickly find the balance between your budget and your needs. Step 1: Define the "Purpose" — Does the data need to be externally accountable? This is the first watershed moment in selection, directly determining the equipment's "Accuracy Class." Scenario A: Data must be "Externally Accountable" Typical Use Cases: Environmental law enforcement, third-party testing, laboratory R&D, legal arbitration. Must Choose: Class 1 Sound Level Meter. Key Reason: The difference between Class 1 and Class 2 goes beyond reading errors. The core difference lies in the Frequency Response Range. Class 1 Devices (e.g., CRY2851): Typically cover a wide band of 10 Hz – 20 kHz, capturing extremely low-frequency vibrations and ultra-high-frequency noise, fully meeting strict standards like IEC 61672-1:2013 Class 1. Class 2 Devices: Usually have a narrower frequency range (e.g., 20 Hz – 8 kHz) with potential attenuation at high or low ends, making them unsuitable for strict metering or certification scenarios. Scenario B: Used only for "Internal Management" Typical Use Cases: Workshop inspections, equipment spot checks, community surveys, internal process comparisons. Recommended: Class 2 Sound Level Meter. Core Advantage: It meets the vast majority of industrial and environmental noise measurement needs and is the ideal choice for internal control. Step 2: Clarify "Indicators" — What exactly are you measuring?  Selecting the wrong indicators renders the data useless. Focus on the following two points: Frequency Weighting (A, C, Z): Which one to use? A-Weighting (Most Common): Simulates the human ear's response (insensitive to low frequencies). Must be used for Environmental Noise Evaluation and Occupational Health Assessments (e.g., 85 dB(A) limits). C-Weighting: Less attenuation at low frequencies, reflecting the total energy of the sound more truly. Often used for Mechanical Noise and Impact Sound where rich low-frequency components exist. Z-Weighting (Zero Weighting): Flat response across the entire frequency range with no attenuation. Must be used when you need Spectrum Analysis or deep research into noise components to preserve the original signal. "Instantaneous Value" or "Statistical Value"? For quick site checks: Focus on Lp (Instantaneous Sound Pressure Level) and Lmax (Maximum Sound Level). For scientific assessment or reporting: You must have Leq (Equivalent Continuous Sound Level). This is the core metric for evaluating noise energy over a period of time. Professional equipment (like CRY2850/2851) comes standard with integrating functions to automatically calculate Leq. Figure 1. Software Interface Diagram Step 3: Confirm if "Analysis" is needed — Do you need to find the noise source?  This distinguishes a "regular noise meter" from a "professional sound level meter." Looking at a total value (e.g., 85dB) only tells you "it's noisy here"; seeing the spectrum tells you "where is it noisy." When do you need Spectrum Analysis (1/1 Octave, 1/3 Octave, or FFT)? Noise Control: Determining if noise comes from a fan (aerodynamic noise) or a motor (electromagnetic noise). R&D: Comparing sound quality differences between competing products or iterations. Diagnostics: Distinguishing between high-frequency bearing squeal and low-frequency structural resonance. Selection Advice: Taking the CRY2851 as an example, it supports both OCT Analysis and FFT Analysis. If your goal is to "solve problems" rather than just "record numbers," be sure to choose a device with spectrum functions. Figure 2. Measurement Demonstration Step 4: Plan the Measurement "Mode" — Single measurement or long-term monitoring? Many projects fail because the device "measures accurately, but is hard to use." Dynamic Range: Say goodbye to "Manual Gear Shifting" Old equipment requires manual range switching, which is prone to errors. Modern sound level meters (like CRY2851) feature a >120 dB wide dynamic range, covering everything from whispers to roaring engines without switching gears—preventing errors and improving efficiency. Data Export: Ensure data is "Portable and Usable" Ensure the device supports automatic storage to an SD card or internal memory and exports in universal formats (like CSV). Avoid the trap of "measuring data but failing to record it manually." Remote Monitoring Capability (Essential for Outdoor/Long-term)  For long-term scenarios like construction sites or traffic monitoring, the device must have: Communication Functions: (LAN/Serial Port) for real-time remote data transmission. Outdoor Protection: (e.g., paired with NA41 Outdoor Kit, IP65 rating) to withstand rain and dust; otherwise, the equipment is easily damaged. Quick Selection Cheat Sheet To help you decide quickly, we have summarized three typical application scenarios based on the four-step method above: Figure 3. Handheld Measurement Operation The "Avoid Pitfalls" Checklist: Check these 5 points last Check the Standard: Confirm compliance with the latest IEC 61672-1:2013 standard. Check Bandwidth: Even for Class 2 meters, ensure the frequency range covers your main noise sources to avoid missed detections. Check Calibration: Buying a Class 1 SLM requires a Class 1 Sound Calibrator (e.g., CRY563A); otherwise, the system accuracy is downgraded. Check Range: Prefer "Wide Dynamic Range" or "Auto-Range" devices; refuse manual gear shifting. Check Accessories: Windscreens and protective cases are mandatory for outdoor use. Selecting a sound level meter is essentially balancing "Risk vs. Cost." If you still have doubts about "Class 1 vs. Class 2" or "Whether Spectrum Analysis is needed," CRYSOUND is ready to provide full lifecycle support: Pre-sales: Our application engineers provide one-on-one scenario consulting to help you match precisely and avoid wasting money. After-sales: We offer a full suite of services from calibration and training to long-term technical support, ensuring a complete chain of evidence. Instead of struggling with parameters alone, get in touch with our team using the form below to receive a configuration plan tailored to your application.
Sound Quality

Sound Quality Measurement: ISO 532 Loudness & ECMA-74 Tonality Guide (Free OpenTest)

Learn how to measure Loudness (ISO 532-1), Sharpness, and Tonality (ECMA-74) with OpenTest — free, open-source software. Step-by-step guide for automotive NVH, consumer electronics & home appliances engineers. This article is for engineers working in acoustics and vibration testing. It introduces how to perform sound quality measurements in OpenTest based on the ISO 532 loudness standard and the ECMA-74 tonality evaluation methods. By measuring and comparing three key psychoacoustic metrics — Loudness, Sharpness, and Prominence (Tonality) — teams in consumer electronics, automotive NVH, home appliances and IT equipment can turn “how good or bad it sounds” into quantitative engineering data, and complete a standardized sound quality workflow on a single platform from data acquisition, through analysis, to reporting. Why Sound Quality Measurements Matter In traditional noise testing, we usually rely on dB values to describe how “loud” a device is. But more and more studies and real-world projects are reminding engineers that “loudness” is only part of the story. In automotive NVH, home appliances, IT equipment and consumer electronics, user acceptance of product sound depends much more on whether it sounds pleasant, sharp, tiring or annoying, not just the overall sound pressure level. Industry surveys also show that most manufacturers now treat “how good it sounds” as being just as important as “how quiet it is”, and they start paying attention to sound quality already in early design phases. At the same sound level, poor sound quality can significantly drag down overall product satisfaction. This is exactly why Sound Quality as a discipline exists: through a set of psychoacoustic metrics such as Loudness, Sharpness and Tonality/Prominence, it turns subjective impressions like “sharp”, “boomy”, “harsh” or “smooth” into data that is measurable, comparable and traceable, so engineering teams can go beyond noise control and truly design and optimize product sound around listening experience. Key Metrics in Sound Quality Measurement In engineering practice, sound quality is not a single number, but a set of psychoacoustic quantities. Commonly used metrics include Loudness, Sharpness, Roughness, Fluctuation Strength, Prominence/Tonality, etc. Figure 1 – Key metrics in sound quality measurement Loudness (ISO 532-1) Loudness and Loudness Level describe how loud a sound is perceived by the human ear, rather than just its sound pressure level in dB. Internationally, the ISO 532-1:2017 standard based on the Zwicker method is widely used for loudness calculation. It can handle both stationary and time-varying sounds and correlates well with subjective perception in many technical noise applications. From an engineering point of view, loudness has clear advantages over A-weighted SPL: It accounts for the ear’s different sensitivity to frequency (human hearing is more sensitive in the mid-high range) At the same dB level, loudness often tracks “does it feel loud or not?” more accurately Sharpness (DIN 45692) Sharpness reflects whether a sound is perceived as sharp or piercing. When the high-frequency content has a higher proportion, people tend to feel the sound is more “sharp” or “edgy”. Sharpness was standardized in DIN 45692:2009, and is typically calculated based on the specific loudness distribution from a loudness model, applying additional weighting in the higher Bark bands. The result is expressed in acum. In applications such as fans, compressors and e-drive whine, reducing sharpness often improves subjective comfort more effectively than just lowering the overall dB level. Roughness (asper) Roughness corresponds roughly to fast amplitude modulation in the 15–300 Hz range, which gives a “raspy, vibrating” impression — for example in certain inverter whines or gear whine where the sound feels like it is “shaking”. Unit: asper Classical definition: 1 asper corresponds to a 1 kHz, 60 dB pure tone amplitude-modulated at about 70 Hz with 100% modulation depth The deeper the modulation and the closer the modulation frequency is to the sensitive region (around 70 Hz), the higher the perceived roughness In engineering, roughness is often used to describe how much a sound feels like it is “buzzing” or “scratching”, and it is particularly relevant for subjective evaluation of technical noise in e-drive systems, gearboxes and compressors. Fluctuation Strength (vacil) Fluctuation Strength captures slower amplitude fluctuations — amplitudes that go up and down in the range of roughly 0.5–20 Hz, perceived as “pulsing” or “breathing”, with a typical peak sensitivity around 4 Hz. Unit: vacil A classical definition of 1 vacil: a 1 kHz, 60 dB pure tone with 4 Hz, 100% amplitude modulation In cabin idle “breathing noise”, or fans whose level periodically rises and falls, fluctuation strength is a key descriptor You can think of Fluctuation Strength and Roughness as two sides of the same “modulation” coin: Fluctuation Strength: slow modulation (a few Hz), perceived as “breathing” or “pulsing” Roughness: faster modulation (tens of Hz), perceived as “vibrating, raspy, grainy” Prominence / Tonality (ECMA-74) Many devices are not particularly loud overall, yet become extremely annoying because of one or two narrowband tonal components. These “sticking out tones” are usually quantified by Tonality / Prominence. In IT and information technology equipment noise, ECMA-74 specifies methods based on Tone-to-Noise Ratio (TNR) and Prominence Ratio (PR) to evaluate tonal prominence and to determine whether a spectral line is a “prominent tone”. Historically, these metrics come from psychoacoustic research and are now widely used in automotive, aerospace, home appliances and IT equipment to predict and optimize annoyance. For example, studies have shown that, with loudness controlled, Sharpness, Tonality and Fluctuation Strength are important predictors for the annoyance of helicopter noise. Why Sound Quality Is More Useful Than Just “Watching dB” In many projects, you may have already seen questions like these: Two fan designs have similar sound power levels, but one “sounds smooth” while the other has a clear whine After noise reduction, overall SPL is a few dB lower, but user feedback hardly improves On the production line, A-weighted SPL is used as the only criterion, and some “bad-sounding” units still slip through Fundamentally, that is because: Sound pressure level / sound power = “how much energy is there” Sound quality metrics = “how the ear feels about it” With metrics like Loudness, Sharpness, Roughness, Fluctuation Strength and Prominence, you can decompose vague complaints like “it just sounds uncomfortable” into: Which frequency region has too much energy (leading to high sharpness) Whether there is strong amplitude modulation (causing high roughness or fluctuation strength) Whether any tonal component is sticking out clearly above its surroundings (high tonality / prominence) In engineering iteration, these metrics can be mapped directly to: Structural optimization (stiffness, modes, blade shape, etc.) Control strategies (e.g. PWM frequency, fan speed curves and transitions) Material and noise treatment / isolation choices This gives you much clearer and more actionable directions than “just reduce dB”. Sound Quality Analysis in OpenTest As a platform for acoustics and vibration testing, OpenTest supports a complete sound quality workflow from acquisition → analysis → reporting. Fill in the form at the bottom ↓ of this page to contact us and get an OpenTest demo. Example Device: Office PC Fan Noise To make the process concrete, we use a very accessible device as our example: a typical office PC. Test objective: evaluate sound quality metrics of its fan noise under different operating conditions, in order to: Compare subjective noise performance of different cooling and fan control strategies Provide quantitative input to NVH reviews (e.g. does loudness exceed the target, is sharpness too high?) Build a foundation for further sound quality optimization (e.g. suppressing whine frequencies, smoothing speed transitions) Test environments might be: A semi-anechoic room / low-noise lab (recommended); or A quiet office environment for early-stage, comparative evaluation Measurement System: SonoDAQ + OpenTest Sound Quality Module On the hardware side, we use a CRYSOUND SonoDAQ multi-channel data acquisition system (for more detailed model information, please contact us), together with one or more measurement microphones placed near the PC fan or at the listening position, according to the test requirements. Figure 2 – SonoDAQ Pro multi-channel data acquisition system Of course, OpenTest also supports connection via openDAQ, ASIO, WASAPI and other mainstream audio interfaces, so you can reuse existing DAQ devices or audio interfaces for measurement where appropriate. On the software side, the Sound Quality module in OpenTest is one of the measurement modules. Combined with FFT analysis, octave analysis and sound level analysis, it can cover most standard audio and vibration test needs. Configuring Measurement Parameters After creating a new project in OpenTest, proceed as follows: 1. Channel configuration and calibration In Channel Setup, select the microphone channels to be used and set sensitivity, sampling rate and frequency weighting as required Use a sound calibrator (e.g. 1 kHz, 94 dB SPL) to calibrate the measurement microphones, ensuring that loudness and related metrics have a reliable absolute reference 2. Switch to the “Measure > Sound Quality” module Select the metrics to be calculated: Loudness, Sharpness, Prominence Set analysis bandwidth, frequency resolution and time averaging modes Optionally configure test duration and labels for different operating conditions Essentially, this step turns the “calculation definitions” in ISO 532, DIN 45692 and ECMA-74 into a reusable OpenTest sound quality scenario template. Acquiring Sound Data for Different Operating Conditions Once the test environment is set up and the parameters are configured, click Start to measure sound quality data under different operating conditions. Each test record is saved automatically for later analysis. Because sound quality focuses on how it sounds during real use, it is recommended to record several typical conditions, for example: Idle / standby (fan off or low speed) Typical office load (documents, multi-tab browsing, etc.) High load / stress test (CPU/GPU at full load) With this breakdown, engineers can clearly manage which sound quality result corresponds to which operating condition. Figure 3 – Overlaying multiple sound quality test records in OpenTest From Multiple Measurements to One Sound Quality Report After measuring multiple operating conditions (e.g. idle, typical office and full-load stress test), you can do the following in OpenTest. In the data set list, select the records you want to compare and overlay: Compare loudness curves under different conditions See whether sharpness spikes during acceleration or speed transitions Identify conditions where prominent narrowband tones appear (high prominence) In the Data Selector, save the associated waveforms and analysis results: Export .wav files for later listening tests or subjective evaluations Export .csv / Excel for further statistics or modelling Click the Report button in the toolbar: Enter project, DUT and operating condition information Select sound quality metrics and plots to include (e.g. loudness vs. time, bar charts of sharpness, spectra with marked tonal prominence) Generate a sound quality report with one click for internal review or customer submission Figure 4 – Example of a sound quality report in OpenTest The generated report includes measurement conditions and operating modes, key sound quality metrics such as Loudness, Sharpness and Prominence, as well as a comparison with traditional acoustic metrics (sound pressure level, 1/3-octave spectra, sound power, etc.), making it easier for project teams to discuss using a set of metrics that are both objective and closely related to perceived sound. Typical Application Scenarios You can build different sound quality test scenarios in OpenTest for different businesses, for example: Consumer electronics / IT equipment (laptops, routers, fans, etc.) Use loudness + sharpness + (where applicable) roughness to evaluate the “subjective comfort” of different thermal / fan strategies Compare sound quality across different speed curves or PWM schemes Automotive NVH / e-drive systems Use multi-channel acquisition to record interior noise and speed signals synchronously Combine order analysis with sound quality metrics to see how “sharp” an e-drive whine is and whether there is pronounced modulation causing roughness Home appliances and industrial equipment When sound power already meets standards, use sound quality metrics to further screen for “annoying noise”, instead of relying only on dB If you are building or upgrading your sound quality testing capabilities, you can use ISO 532 and ECMA-74 as the backbone and let OpenTest connect environment, acquisition, analysis and reporting into a repeatable chain. That way, each sound quality test is clearly traceable and much more likely to evolve from a single experiment into a long-term engineering asset. Welcome to fill in the form below ↓ to contact us and book a demo and trial of the OpenTest Sound Quality module. You can also visit the OpenTest website at www.opentest.com to learn more about its features and application cases.
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