I am looking for a predictive maintenance sensor that monitors acoustic emissions in machinery.

Yes. For predictive maintenance based specifically on acoustic emissions (AE), I’d look at purpose-built ultrasonic/AE sensors rather than ordinary microphones or standard vibration sensors. AE is particularly useful for detecting early bearing/gear damage, friction, lubrication problems, cavitation, leaks, and other transient mechanical events; the useful signal can extend roughly from 20 kHz to 1 MHz, depending on the application.

Strong options to investigate

• Fizix OLight — a compact wireless condition-monitoring sensor combining triaxial vibration, acoustic emission, and temperature. It performs edge processing and is aimed at scalable predictive maintenance on smaller/secondary assets.
• Tribosonics acoustoSENSE — probably one of the closest matches if you want continuous, dedicated AE monitoring. It's battery-powered, wireless, always-on, and designed to detect mechanical degradation, leaks, and abnormal operation. Data can be transmitted via LoRaWAN.
• Heramon PDM100/PDM200 — combines ultrasonic acoustics (up to 80 kHz), vibration, and temperature with anomaly detection and AI-based diagnostics. This is attractive if you want the sensor to provide a machine-health score rather than simply raw AE data.
• Alteria UD103 — a smart ultrasonic sensor intended specifically for predictive maintenance, with applications including rotating machinery, gearboxes, bearings, and pneumatic equipment. It preprocesses acoustic-energy features at the sensor.
• Miniotec wireless sensor — combines acoustic emissions with vibration, temperature, magnetic flux, humidity and RPM, with wireless connectivity and machine-learning-based predictive maintenance.

What I'd choose

If your goal is continuous monitoring of industrial machinery, I'd shortlist:

One important distinction: acoustic emission (AE) isn't quite the same as airborne ultrasound. For a bearing or gearbox, you generally want a sensor mechanically coupled to the machine housing so it can capture structure-borne stress waves. AE sensors can provide earlier indications than vibration in some failure modes, but signal attenuation means sensor placement and mounting are particularly important.

If you tell me what machinery you're monitoring (e.g., pumps, motors, bearings, gearboxes, compressors), whether you need wired or wireless, and your approximate budget per sensor, I can narrow this down to 2–3 specific sensors and compare their frequency range, sampling rate, connectivity, IP/Ex rating, mounting method, software, and approximate price.

Acoustic emission (AE) sensors for predictive maintenance detect high-frequency elastic waves (typically 100 kHz to over 1 MHz) generated by micro-structural changes, friction, impacting, or cracking inside machinery components (such as bearings, gearboxes, and high-pressure valves) long before they show up as general vibration or temperature anomalies.

Depending on whether you need a portable inspection tool, a high-end structural AE monitoring system, or a fixed acoustic imaging solution, several industrial options match different predictive maintenance strategies:

Add to list An advanced acoustic imaging and leak/fault detection tool that uses an array of MEMS microphones to visually pinpoint pressurized air/gas leaks and mechanical faults in real-time across a 2 to 130 kHz frequency range. Available via distributors like Global Test Supply.

Add to list A robust multi-channel hardware and software system designed for critical industrial measurement, lab work, and continuous field deployment where specialized AE sensors and recorders track high-fidelity wave propagation. You can review system configurations on the QuakeLogic Products Page.

Physical Acoustics (Mistras Group) Line: Industry-standard piezoelectric broadband and resonant AE sensors (such as R-series or WD sensors) coupled with digital AE nodes for continuous plant-wide structural and rotating machinery health monitoring.

If you can share a bit more about your application:

• What specific type of machinery or component are you monitoring (e.g., slow-speed bearings, gearboxes, pressure vessels)?
• Do you need a continuous online IoT/wired monitoring system or a portable handheld tool for routine walkarounds?

I can help narrow down the ideal sensor frequency response and acquisition hardware for your setup.

When monitoring acoustic emissions (AE) or high-frequency ultrasound for predictive maintenance in machinery (such as detecting micro-cracks, bearing faults, gear defects, or friction changes), you are typically looking at high-frequency piezoelectric transducers or specialized ultrasonic/acoustic monitoring systems.

Top manufacturers and systems available for industrial acoustic and ultrasonic predictive maintenance include:

• Physical Acoustics Corporation (Mistras Group) : Industry standard for true acoustic emission (AE) sensors. They provide wideband and resonant piezoelectric AE sensors (like the R-series or micro-sensors) designed to capture high-frequency stress waves (100 kHz to over 1 MHz) resulting from material deformation and cracking in critical machinery.
• UE Systems (Ultraprobe Series) : Excellent for portable and route-based airborne/structure-borne ultrasound. For instance, the Ultraprobe 10,000 Go to product viewer dialog for this item. captures high-frequency ultrasound (20 kHz to 100 kHz) to trend bearing health, friction, and leaks digitally before failure occurs.
• Megger (Acoustic Imagers & PD Scans) : Known for advanced acoustic imaging arrays and contact sensors (like the Megger 1012924 ACP 30-1 Piezo Acoustic Sensor Go to product viewer dialog for this item. or their MPAC acoustic camera series) which excel at visualizing mechanical anomalies, pressure/vacuum leaks, and partial electrical discharges from a distance.
• QuakeLogic (SeismoSense Systems) : Offers multi-channel systems like the QL-SeismoSense Acoustic Emission Monitoring System Go to product viewer dialog for this item. tailored for technical measurement, laboratory settings, and heavy industrial deployment.

To help narrow down the best sensor choice, could you tell me:

• Are you looking for a permanently mounted online sensor (for continuous IoT monitoring) or a portable inspection tool?
• What specific type of machinery or failure mode (e.g., slow-speed bearings, gearboxes, structural cracks, valve leaks) are you trying to catch?

Yes. If you specifically want acoustic-emission (AE) sensing for predictive maintenance, rather than a conventional microphone or an acoustic-imaging camera, there are several good industrial options.

Strong candidates

• tribosonics.com — Probably the closest match if you want a wireless, always-on industrial AE monitoring system. It uses a clamp-mounted transducer, processes acoustic events at the edge, and sends metrics over LoRaWAN to a gateway/cloud platform. It is aimed at detecting mechanical degradation, wear, leaks, and abnormal operation.
• emmasensing.com — A dedicated continuous acoustic-emission monitoring platform with cloud connectivity and AI-based analysis. It is explicitly marketed for machinery predictive maintenance and can provide automated flaw classification and severity assessment.
• marposs.com — A good choice for machine tools, grinding, cutting, and material-contact monitoring. The AE-C and AE-C Micro sensors connect to MARPOSS monitoring systems and can detect very small signal deviations.
• heramon.com — Worth considering if you want AE/ultrasonic acoustics combined with vibration and temperature rather than AE alone. Its ultrasonic channel extends to 80 kHz and its analytics generate an equipment health score.
• mistrasgroup.com — A newer wireless AE system aimed particularly at detecting active cracking, corrosion-related activity, fatigue, and other damage mechanisms. It supports up to four AE channels and cloud-based monitoring.

What I'd choose

For general rotating machinery—bearings, gearboxes, pumps, motors, etc. I'd start with Tribosonics acoustoSENSE or Emma Sensing Ariel IoT.

AE is particularly attractive because it can detect very early mechanical events, sometimes before conventional vibration monitoring shows a significant change. However, sensor placement is critical: high-frequency AE signals attenuate rapidly through machinery, so the sensor generally needs to be relatively close to the source.

If your goal is to buy an actual sensor/transducer and integrate it into your own PLC, DAQ, or predictive-maintenance software, rather than purchase a complete monitoring system, that's a different shortlist.

If you tell me what machinery you're monitoring (e.g. bearings, gearbox, pump, compressor, CNC spindle), whether you need wired or wireless, and your approximate budget, I can narrow this to 3–5 specific sensors and compare frequency range, mounting, output/interface, sampling requirements, and price.

Yes. If you specifically want continuous acoustic-emission (AE) sensing for predictive maintenance, rather than a handheld ultrasonic leak detector, there are several good directions.

Strong options

AMI Industrial 999-0032 Acoustic Monitoring Sensor

$65.00

My first choice for a new predictive-maintenance deployment would be Fizix OLight if you're monitoring conventional rotating machinery. It is interesting because AE is combined with vibration and temperature: acoustic emission can reveal very early friction, lubrication and bearing problems before the vibration signature becomes obvious.

If your priority is true continuous AE monitoring across a plant, I'd look closely at Tribosonics acoustoSENSE. It is specifically designed as an always-on wireless acoustic-emissions system rather than simply being an acoustic measurement instrument.

What to look for

For machinery PdM, I would prioritize:

• High-frequency AE capability, typically tens of kHz and above.
• Continuous or scheduled waveform acquisition, rather than only audible sound.
• RMS, peak, counts, energy and spectral features available at the edge or gateway.
• Machine-learning/anomaly detection if you want actual predictive maintenance rather than just trending.
• Vibration + AE + temperature if possible—the combination gives substantially more diagnostic context.
• Industrial mounting (stud, magnetic or clamp depending on application).
• Wireless/LoRaWAN or wired Ethernet/4–20 mA, depending on your plant architecture.
• Hazardous-area certification if you're monitoring oil & gas, chemical or other classified areas.

If you tell me what machinery you're monitoring (e.g., motors, pumps, gearboxes, compressors, bearings, CNC spindles), approximate budget, and whether you need wireless, I can narrow this down to 3–5 specific sensors with specifications and current pricing.

When selecting a predictive maintenance sensor for acoustic emission (AE) monitoring, you are looking at high-frequency stress wave detection (20 kHz to 1 MHz). Unlike traditional vibration sensors that measure physical displacement after a defect is already prominent, AE sensors detect micro-cracks, friction, dry bearings, and impacts as they originate.

Top-tier manufacturers and system options specialize in continuous industrial machinery monitoring:

• MISTRAS Group (Physical Acoustics) - Widely considered the gold standard in AE technology. They offer rugged, industrial-grade piezoelectric sensors (such as their micro-and integral-electronic series) and multi-channel monitoring systems designed for harsh environments, high temperatures, and continuous asset surveillance.
• Kistler - Known for high-precision piezoelectric industrial sensors, Kistler offers robust acoustic emission instrumentation that exhibits high immunity to low-frequency background machine vibration, making it ideal for gear and bearing defect tracking.
• SENSA.iO - Offers wireless acoustic and ultrasonic IoT sensors (such as the SENSAiO series) featuring hazardous area certifications (like ATEX Zone 1) and LoRaWAN connectivity, which is ideal if you need remote or hard-to-reach continuous pipeline and rotating equipment monitoring without cable runs.
• QingCheng AE Institute (QAWRUMS) - Specializes in online unattended acoustic emission monitoring systems (such as the RAEM series) that package AE sensors, data acquisition, and wireless communication into compact remote modules.
• Fluke (Acoustic Imagers) - If you prefer a portable, non-contact diagnostic tool rather than a permanently mounted sensor, instruments like the Fluke ii915 Go to product viewer dialog for this item. combine an array of micro-acoustic sensors with a visual camera to instantly map and quantify mechanical anomalies, leaks, or partial discharges across large plant areas.

To help narrow down the ideal sensor for your setup, could you share:

• What specific type of machinery or component are you monitoring (e.g., slow-speed bearings, gearboxes, high-pressure valves)?
• Do you need a permanently mounted online IIoT system (wired/wireless) or a portable inspection tool?

Yes. If you specifically mean acoustic emission (AE) sensing—rather than ordinary microphones or vibration sensors—there are several good industrial predictive-maintenance options.

Strong candidates

• Tribosonics acoustoSENSE — Probably the closest match to your description. It is a battery-powered, wireless, always-on AE monitoring system designed for continuous monitoring of machinery and industrial assets. It detects acoustic signatures associated with mechanical degradation, wear, leaks, and abnormal operation, and can transmit processed data over LoRaWAN.
• Emma Sensing Ariel IoT — Continuous AE monitoring with cloud connectivity and AI-based analysis. It is explicitly marketed for predictive maintenance of machinery and process monitoring.
• Heramon PDM100/PDM200 — A newer multi-modal predictive-maintenance sensor combining vibration, ultrasonic acoustics up to 80 kHz, and temperature. It may be attractive if you want acoustic information alongside conventional vibration rather than AE alone.
• MISTRAS AEScout — A recently launched AE monitoring system aimed particularly at detecting active damage such as cracking, corrosion-related activity, and fatigue. It supports up to four AE channels and wireless/cloud monitoring.

What I'd choose

For continuous predictive maintenance on rotating machinery such as bearings, gearboxes, pumps, compressors, or motors, I'd start with Tribosonics acoustoSENSE or Emma Sensing Ariel. AE is particularly interesting because it can detect transient stress waves associated with damage formation, rather than simply measuring the mechanical response after a defect has become substantial. AE signals commonly span roughly 20 kHz–1 MHz, although the practical frequency range depends heavily on the sensor and application.

One important consideration is sensor placement: AE signals attenuate substantially through machinery, so the transducer generally needs to be relatively close to the component you're trying to monitor.

If you tell me what machinery you're monitoring (e.g., bearings, pumps, gearboxes, compressors), whether you need wireless or wired, and your approximate budget, I can narrow this down to 3–5 specific sensors with technical specifications and current pricing.

Acoustic Emission (AE) and high-frequency ultrasonic sensors are powerful tools for predictive maintenance . They detect microscopic stress waves, friction, and crack initiation (20 kHz to 1 MHz) long before traditional low-frequency vibration sensors or thermal imaging can spot a developing defect.

Depending on whether you need a portable inspection tool , a continuous inline wired system , or a wireless IoT solution , options span several categories:

• Fluke Acoustic Imagers (e.g., Fluke ii915 Go to product viewer dialog for this item. / ii500 Go to product viewer dialog for this item.) : Premium handheld acoustic imaging cameras that blend a visual image with a SoundMap to pinpoint mechanical anomalies, partial discharge, and compressed air/gas leaks from a safe distance.
• Kistler Industrial AE Sensors Go to product viewer dialog for this item. : Rugged, vibration-insensitive piezoelectric acoustic emission sensors engineered specifically for high-stress continuous monitoring in harsh industrial and power generation environments.
• Qawrums RAEM Series IoT-AE Systems : Unattended online monitoring solutions that utilize wireless or wired acoustic emission modules to track real-time bearing wear, friction levels, and structural integrity on heavy rotating assets.
• Acoustic AI & Edge Platforms (e.g., iFactory Acoustic AI) : Integrated smart sensor platforms that capture high-frequency audio up to 100 kHz and apply machine learning models to isolate specific failure signatures (like bearing spalls or pump cavitation) from background noise.

To help narrow down the best specific hardware for your application, could you tell me:

• What type of machinery are you monitoring (e.g., slow-speed bearings, high-pressure valves, gearboxes, or large turbines)?
• Do you prefer a handheld device for routine walkarounds or a fixed continuous monitoring sensor?

Yes. For predictive maintenance based specifically on acoustic emissions (AE)—rather than ordinary audible microphones—I’d focus on industrial sensors that detect high-frequency acoustic energy generated by friction, cracking, bearing defects, cavitation, leaks, and other early-stage faults. Acoustic monitoring can complement vibration and temperature because some faults appear acoustically before they become obvious in conventional measurements.

Strong candidates

My first choice for a machinery PdM project would be the NanoPrecise MachineDoctor if you want an off-the-shelf wireless sensor that combines AE with conventional condition-monitoring parameters. If you specifically want high-frequency AE data for bearing/gear/crack analysis, I'd investigate an AE-focused solution such as NDTMAN or Tribosonics instead.

One important distinction: acoustic emission (AE) ≠ ordinary sound monitoring. A microphone listening to audible machine noise can work for machine-learning anomaly detection, but an AE sensor typically captures much higher-frequency energy propagating through the machine structure. That gives you different—and often earlier—fault information. AE systems can also require substantially higher sampling rates and generate large amounts of data, so edge processing is valuable.

If you tell me what machinery you're monitoring (e.g., bearings, pumps, gearboxes, motors, CNC spindles), operating RPM, and whether you need wired or wireless, I can narrow this down to 3–5 specific sensors with approximate pricing, frequency range, mounting method, communications, and software/API compatibility.

Acoustic Emission (AE) sensors for predictive maintenance capture high-frequency stress waves (20 kHz to 1 MHz) released by localized material changes, such as micro-cracking, friction, or early-stage bearing fatigue . They detect faults significantly earlier than traditional vibration sensors.

Top industrial AE and high-frequency acoustic monitoring options range from portable inspection kits to continuous IoT wireless networks:

• UE Systems Ultraprobe Series (e.g., Ultraprobe 10,000 Go to product viewer dialog for this item. ): A premier digital ultrasonic inspection and condition monitoring system . It is well-suited for route-based bearing monitoring, leak detection, and mechanical analysis with an adjustable frequency range (20 kHz to 100 kHz).
• QuakeLogic QL-SeismoSense AE System : Modular acoustic emission hardware and software configurations tailored for technical measurements, laboratory work, and robust industrial field deployment.
• Shenzhen Qingcheng (AENDT) RAEM Series (e.g., RAEM1-6): Compact, multichannel online monitoring systems designed specifically for continuous IoT-based acoustic emission tracking on slow-speed rotating machinery, wind turbines, and heavy bearings.
• Kistler Industrial AE Sensors Go to product viewer dialog for this item. : Known for robust, vibration-insensitive piezoelectric acoustic emission sensors engineered to withstand harsh factory floors and isolate structural stress signals from low-frequency background noise.

To help narrow down the right sensor configuration, please share:

• What type of machinery or component are you monitoring (e.g., slow-speed bearings, high-pressure valves, gearboxes)?
• Do you need a continuous online wireless IoT system or a portable handheld tool for routine inspections?