Vibration Analysis for Predictive Maintenance and Condition Monitoring - Radio Bridgehttps://radiobridge.com/solution/vibration-analysis-for-predictive-maintenance-and-condition-monitoring
Several industrial condition-monitoring vendors support battery-powered wireless vibration (and combined temperature/acoustic) sensors that allow open data export via standard industrial protocols like MQTT, REST APIs , or standard industrial gateways (IO-Link/WirelessHART).
Here are the prominent vendors providing this combination of battery-powered hardware and open data integration:
ifm efector
Sensors/Hardware: Offers wireless vibration transmitters and IO-Link wireless solutions (such as their Bluetooth mesh or proprietary radio-based condition monitoring transmitters) measuring vibration velocity (𝑣-R M S ), temperature, and high-frequency characteristics.
Open Export: Their gateways natively support integration into local IT/OT environments via standard MQTT and HTTP REST API , alongside cloud or cellular options (NB-IoT, LTE CAT-M1).
Sensors/Hardware: Provides battery-powered wireless vibration and temperature sensors (e.g., QM30VT series nodes paired with DX80 or MultiHop wireless architectures).
Open Export: Using their DXM series industrial controllers/gateways , data can be pulled or pushed locally via standard protocols like Modbus TCP, Ethernet/IP, or published directly via MQTT and RESTful APIs to third-party software, SCADA, or private data lakes without being locked into a proprietary cloud.[1][2]
Emerson (AMS Wireless)
Sensors/Hardware: Offers the AMS Wireless Vibration Monitor (e.g., AMS 9530) , which is a battery-powered triaxial vibration and PeakVue (acoustic/stress wave) sensor utilizing an IEC 62591 WirelessHART self-organizing mesh.
Open Export: While native WirelessHART gateways (like the Emerson SmartWireless Gateway) translate the mesh data, they provide standard OPC UA, Modbus TCP, and REST/JSON interfaces out of the gateway to feed data directly into open third-party enterprise platforms or local historians.[1][2]
National Control Devices (NCD)
Sensors/Hardware: Specializes in long-range industrial IoT battery-powered wireless vibration and ultrasound sensors utilizing enterprise mesh architecture with multi-year battery life.
Open Export: Highly focused on open architecture, NCD gateways allow local data streaming via Node-RED, MQTT , and local JSON webhooks, making it very straightforward to route raw sensor data into open-source time-series databases (like InfluxDB or Prometheus) and Grafana dashboards.[1]
autosen
Sensors/Hardware: Provides self-sufficient complete sets (like the autosen minion ) combining long-life battery-powered high-precision vibration and temperature sensors with LTE-M/NB-IoT mobile connectivity.
Open Export: Designed with open IoT integration pipelines in mind, allowing straightforward REST and MQTT streaming parameters out-of-the-box to connect with customer-owned IoT platforms.[1]
If you have a preferred IT protocol (such as MQTT, OPC UA , or REST API ) or need compatibility with a specific local software stack (like Node-RED, AWS, or an on-premise historian), let me know so I can narrow down the best ecosystem match.
Miniotec — battery-powered wireless sensors measure triaxial vibration and acoustic emissions; explicitly supports “open data” via HTTPS, MQTT and FTP, including RMS/full-spectrum and sound data.
Fizix — OMax is battery-powered and combines triaxial vibration with acoustic emission, temperature and magnetic flux; it can collect raw sensor data.
TAS Industries — battery-powered wireless sensors capture vibration and acoustic measurements, with gateways designed to integrate with PLC/SCADA/historians/CMMS.
Sensor-Works — battery-powered wireless vibration sensors, with a development kit offering a REST API for custom integrations.
NCD — battery-powered wireless vibration sensors; data can remain on-premises and be forwarded through Node-RED to MQTT, REST APIs, Modbus, AWS, Azure, or Google Cloud.
Best fit for your exact “vibration + acoustic + open export” requirement: Miniotec and TAS are the strongest documented matches.
Several industrial condition-monitoring vendors provide battery-powered wireless vibration and acoustic/ultrasound sensors coupled with controllers, gateways, or software platforms that natively support open data export protocols (such as MQTT, OPC UA, REST APIs , or Modbus TCP).
Here are the key vendors and systems that accommodate open data integration rather than locking data entirely into a proprietary cloud:
Banner Engineering
Sensors & Hardware: Battery-powered wireless vibration and temperature sensors (e.g., Q45 or SureCross wireless nodes).
Open Export Mechanism: Their DXM / DXMR90 industrial wireless controllers and edge gateways ingest the wireless sensor data locally and feature built-in edge publishing supporting MQTT, Sparkplug B , and Modbus , making it straightforward to stream data directly into third-party SCADA, historians, or platforms like Ignition.
ifm electronic
Sensors & Hardware: Wireless and industrial vibration sensors (such as their IO-Link or specific wireless vibration lines) paired with edge gateways.
Open Export Mechanism: Using ifm's moneo software ecosystem (specifically via edgeConnect or data export add-ons), system process values, vibration metrics, and alarms can be openly forwarded via MQTT or OPC UA to external databases, cloud endpoints (AWS/Azure), or local dashboards.
Erbessd Instruments
Sensors & Hardware:Phantom range of battery-powered, long-range wireless triaxial accelerometers and vibration sensors.
Open Export Mechanism: Their EI Gateway communicates via Bluetooth with the sensors and explicitly supports open integration protocols including Modbus TCP/IP, OPC , and MQTT to integrate with plant infrastructure and historical data storage.
National Control Devices (NCD)
Sensors & Hardware: Industrial IoT long-range wireless vibration and ultrasound sensors powered entirely by industrial batteries.
Open Export Mechanism: NCD's enterprise gateways provide raw data streaming capabilities via local APIs, MQTT, and integrations with standard IoT server architectures, avoiding mandatory closed software subscriptions.
RDI Technologies (Iris Edge)
Sensors & Hardware/Software: While famous for Motion Amplification video-based analysis, their hardware ecosystem and Iris Edge platform translate visual and physical mechanical movements into rich vibration data sets.
Open Export Mechanism: Version 3.7+ and Iris Edge support MQTT communication protocol natively, allowing automated data piping to a local broker, Pi Historian, or AI/ML pipelines.
If you have a preferred target destination for your data (like an on-premise SCADA, an AWS/Azure cloud sink, or an Ignition historian), let me know and I can detail which gateway configuration fits best.
Yes. If by “open data export” you mean a documented API, MQTT/REST/LoRaWAN interface, or direct export that lets you move sensor measurements into your own historian, SCADA, CMMS, or analytics stack, there are several credible options.
Vendor
Battery-powered
Vibration
Acoustic / AE
Open data / integration
Notes
Miniotec
Yes
Yes
Yes
HTTPS API, MQTT, FTP
Particularly strong match: its wireless sensor measures triaxial vibration, acoustic emissions, temperature, etc., and explicitly advertises open-data integration.
Tribosonics
Yes, up to 10 years
—
Yes, acoustic emission
LoRaWAN + export
acoustoSENSE is battery-powered, wireless AE monitoring with 100–500 kHz sensing; data can be exported or sent to customer data platforms.
Petasense
Yes
Yes
Some sensor/input options
REST APIs
Vibration Motes are battery-powered triaxial wireless sensors; its architecture explicitly includes REST APIs and a private-cloud option.
NCD
Yes, ~5 years
Yes
—
REST API, MQTT, Node-RED, SQLite, Modbus
Very integration-oriented architecture. Its current Gen4 industrial vibration sensor is battery-powered and provides 3-axis vibration; the gateway exposes several ways to extract/forward data.
Atomation
Yes
Depends on sensor configuration
Depends on sensor
Open API
Advertises battery-powered industrial sensors and an open API specifically for integration with existing monitoring/maintenance platforms.
Fizix
Yes, up to 5 years on some models
Yes
Yes, acoustic emission
Integration/API capability should be verified for raw-data access
OMax combines 3-axis vibration and AE, with ATEX certification and battery operation; OLight also includes vibration and acoustic emission.
TAS
Yes, multi-year
Yes
Yes
Plant-system integration
Battery-powered sensors measure vibration plus acoustic/process variables, with gateways intended to integrate into PLC, SCADA, historian and CMMS environments.
Evident Battery
Yes
Yes
—
API / local-server integration
Battery-powered 3-axis vibration sensor with configurable sampling; vendor explicitly advertises cloud/API integration and direct streaming to local servers.
The strongest matches
For your particular combination of requirements, I'd investigate these first:
Miniotec — probably the closest literal match. The sensor combines vibration + acoustic emissions and the vendor explicitly lists HTTPS, MQTT and FTP access, including RMS/full-spectrum vibration and sound data.
NCD — attractive if your priority is owning the data path rather than being locked into a vendor cloud. Its gateway supports Node-RED, MQTT, REST, SQLite and Modbus, with the vibration sensor running on battery.
Tribosonics — particularly interesting if “acoustic” means true high-frequency acoustic-emission monitoring, rather than an ordinary microphone/audio channel. Its system operates at 100–500 kHz and uses LoRaWAN.
Petasense — a more established predictive-maintenance architecture with battery-powered vibration motes and REST APIs/private-cloud options.
TAS / Fizix — worth evaluating for industrial/hazardous-area deployments where you want both vibration and acoustic measurements.
One important distinction
“Open API” isn't necessarily the same as open/raw sensor data.
For a serious vendor evaluation, I'd ask each supplier whether the API gives you:
raw time waveform, not just RMS/health scores;
FFT/spectrum data and sampling rate;
acoustic waveform or only an acoustic-emission feature value;
timestamp, sensor ID, asset ID and calibration metadata;
historical data in bulk, not just one reading at a time;
MQTT/REST/WebSocket access without a proprietary cloud subscription;
an on-premise/private-cloud deployment option;
documented rate limits and retention policies.
That distinction eliminates a lot of nominally “open” condition-monitoring systems.
Fluke, for example, has battery-powered wireless vibration sensors with fairly capable waveform/spectral measurements, but its 3563 architecture is centered around the Fluke gateway and eMaint/Data Platform rather than being an obvious open-data sensor platform. The 3563 captures time waveforms and vibration measurements and uses a battery-operated triaxial sensor, but I'd classify its data openness as something to verify contractually, rather than assuming an unrestricted API.
If you tell me whether “acoustic” means airborne ultrasound, acoustic emission (20–500+ kHz), or ordinary audible audio, I can narrow this to the vendors that genuinely meet the requirement and compare sensor frequency range, battery life, wireless protocol, API/protocol, raw-waveform access, hazardous-area certification, and approximate cost.
Several prominent industrial condition-monitoring vendors support battery-powered wireless vibration and acoustic/temperature sensors while offering open data export (such as MQTT, OPC UA, Modbus TCP/IP, or REST APIs ) via their local gateways or edge controllers.
The vendor landscape features several key options that support this architecture:
Banner Engineering
Sensors: Offers robust wireless vibration and temperature sensors (such as their Q45 or SureCross wireless nodes) powered by internal batteries.
Open Export: Their industrial edge controllers and gateways (like the Banner DXM Series ) aggregate local wireless sensor data and natively publish data out via standard MQTT, MQTT Sparkplug B, or Modbus/TCP, allowing direct integration into SCADA, historians, or platforms like Inductive Automation Ignition.
ifm efector
Sensors: Offers battery-powered wireless vibration sensors (such as the ifm VWV001 ) that monitor velocity (v-RMS) and surface temperature via a mesh network.
Open Export: Their matching wireless gateways (e.g., ZB0929) feature built-in web servers and provide an MQTT JSON interface for open data ingestion alongside their proprietary moneo platform.[2]
Erbessd Instruments
Sensors: Their Phantom line includes battery-powered wireless triaxial accelerometers capable of simultaneous FFT recording across X, Y, and Z axes.
Open Export: Phantom gateways natively support Modbus TCP/IP, OPC UA, and MQTT , making it straightforward to pipe raw spectral, vibration, and temperature data directly into third-party control or database systems without proprietary lock-in.[1]
SKF (Client Observability / Enlight Collect)
Sensors: SKF Enlight Collect IMx-1 is a battery-powered wireless vibration and temperature sensor node designed for multi-year industrial deployment.
Open Export: While tightly integrated with SKF cloud analytics, their architecture and gateways provide APIs and system integration pathways for enterprise data export (though you should verify specific edge-level protocol availability depending on whether you use their private or public cloud connectors).
IFI / Wilcoxon (Meggitt)
Sensors: Offers various wireless vibration data sources and vibration transmitters.
Open Export: Their digital monitoring architecture facilitates structured condition-monitoring output via enterprise protocols like OPC UA and MQTT snapshots for AI/data-science ingestion.
If you have a preferred target destination for your data—such as an on-premise SCADA/historian (like Ignition) , an enterprise IoT platform (AWS/Azure) , or a local PLC —I can help narrow down which of these vendors provides the smoothest native protocol pipeline for your setup.
Yes. If by “open data export” you mean an API, MQTT/JSON, CSV export, or another documented way to get measurements into your own historian/analytics/CMMS rather than being locked into the vendor UI, there are several credible options.
Vendor
Battery wireless
Vibration
Acoustic / ultrasound
Open data path
Notes
Fizix
✅
✅
✅ Acoustic emission
MQTT/JSON + raw data
Strongest match if you want both modalities in one sensor
Nanoprecise
✅
✅
✅ Acoustic emission
Cloud integration; verify API/export scope
MachineDoctor combines six measurements in one battery sensor
Waites
✅
✅
✅ Ultrasonic fluctuations
API access
Mature industrial vibration platform; API explicitly advertised
Banner Engineering
✅
✅
✅ Ultrasonic sensor options
CSV/cloud export; industrial protocols
More automation-oriented than AI-first vendors
UE Systems
✅/wireless
—
✅ Ultrasound
CSV export
Particularly relevant if “acoustic” means airborne/structure-borne ultrasound
Fizix's OMax is explicitly a battery-powered wireless sensor containing triaxial vibration, acoustic-emission, magnetic-flux and temperature sensing. It has up to five years of battery life, can capture raw waveforms, and communicates using Wi-Fi with MQTT/MQTT-over-SSL and JSON payloads.
That combination makes Fizix particularly interesting if your requirement is literally:
one battery-powered device → vibration + acoustic emission → data you can consume yourself.
Their documentation also distinguishes between telemetry and raw data to the platform, which is important if you need actual waveforms rather than only RMS/health indices.
Nanoprecise's MachineDoctor is a battery-operated wireless sensor measuring triaxial vibration and acoustic emissions, alongside temperature, RPM, humidity and magnetic flux. It supports Wi-Fi and cellular variants and is designed to run for years on its internal battery.
I'd put a data-interface/API question on the procurement checklist, though: the public material I found clearly establishes the sensor and cloud architecture, but doesn't expose as clean a public MQTT/JSON interface specification as Fizix.
Waites uses battery-powered wireless nodes with multi-year battery life and full-spectrum vibration monitoring. More importantly for your requirement, Waites explicitly advertises API access for CMMS integration.
Its sensors also monitor ultrasonic fluctuations in addition to vibration and temperature.
The distinction is that Waites isn't presenting its acoustic capability as the same kind of dedicated acoustic-emission channel that Fizix/Nanoprecise do. Its core product is a vibration-monitoring system with ultrasonic capability.
4. Banner Engineering — good if you want industrial-protocol openness
Banner has battery-powered wireless vibration/temperature sensors, including the Q45 series, with Modbus/1-Wire options and wireless gateways.
Its Cloud Data Services explicitly lets customers access, store and export data, and Banner says customers retain control of their data and can export it to third parties.
Banner is therefore attractive if your definition of “open” includes industrial protocols and gateway-level integration, rather than requiring a modern public REST API.
UE Systems' OnTrak Wireless is focused on ultrasound-based bearing/lubrication monitoring rather than vibration sensing. Its cloud software explicitly supports CSV data export.
So I'd consider it a complementary acoustic/ultrasound system rather than a direct substitute for the multi-modal sensors above.
My shortlist for your specific requirement
If the requirement is battery + wireless + vibration + acoustic + genuinely accessible data, I'd investigate these first:
Fizix OMax — strongest documented match: vibration + acoustic emission + battery + raw data + MQTT/JSON.
Nanoprecise MachineDoctor — vibration + acoustic emission in one battery sensor; investigate the exact API/export contract.
Banner Engineering — excellent industrial integration and data export, although the vibration/acoustic modalities are less unified.
UE Systems — worth considering when acoustic/ultrasound is the primary requirement.
One procurement distinction I'd make: don't accept “open data” merely because a vendor says API. Ask whether you can obtain raw acceleration waveforms, acoustic waveforms, timestamps, sampling rate, sensor metadata and device health/battery data, and whether those are available without a proprietary analytics subscription. That's the difference between genuinely portable condition-monitoring data and an API that only exposes the vendor's derived health score.
Fizix's OMax is explicitly a battery-powered wireless sensor containing triaxial vibration, acoustic-emission, magnetic-flux and temperature sensing. It has up to five years of battery life, can capture raw waveforms, and communicates using Wi-Fi with MQTT/MQTT-over-SSL and JSON payloads.
That combination makes Fizix particularly interesting if your requirement is literally:
one battery-powered device → vibration + acoustic emission → data you can consume yourself.
Their documentation also distinguishes between telemetry and raw data to the platform, which is important if you need actual waveforms rather than only RMS/health indices.
Nanoprecise's MachineDoctor is a battery-operated wireless sensor measuring triaxial vibration and acoustic emissions, alongside temperature, RPM, humidity and magnetic flux. It supports Wi-Fi and cellular variants and is designed to run for years on its internal battery.
I'd put a data-interface/API question on the procurement checklist, though: the public material I found clearly establishes the sensor and cloud architecture, but doesn't expose as clean a public MQTT/JSON interface specification as Fizix.
Waites uses battery-powered wireless nodes with multi-year battery life and full-spectrum vibration monitoring. More importantly for your requirement, Waites explicitly advertises API access for CMMS integration.
Its sensors also monitor ultrasonic fluctuations in addition to vibration and temperature.
The distinction is that Waites isn't presenting its acoustic capability as the same kind of dedicated acoustic-emission channel that Fizix/Nanoprecise do. Its core product is a vibration-monitoring system with ultrasonic capability.
4. Banner Engineering — good if you want industrial-protocol openness
Banner has battery-powered wireless vibration/temperature sensors, including the Q45 series, with Modbus/1-Wire options and wireless gateways.
Its Cloud Data Services explicitly lets customers access, store and export data, and Banner says customers retain control of their data and can export it to third parties.
Banner is therefore attractive if your definition of “open” includes industrial protocols and gateway-level integration, rather than requiring a modern public REST API.
UE Systems' OnTrak Wireless is focused on ultrasound-based bearing/lubrication monitoring rather than vibration sensing. Its cloud software explicitly supports CSV data export.
So I'd consider it a complementary acoustic/ultrasound system rather than a direct substitute for the multi-modal sensors above.
Yes. If by “open data export” you mean an API/protocol that lets you pull the underlying condition data into your own historian, SCADA, CMMS, data lake, or analytics stack—not merely view it in the vendor dashboard—the field narrows considerably.
Miniotec's wireless vibration sensor combines triaxial vibration, acoustic emissions, magnetic flux, temperature, humidity and RPM in one battery-powered device. It supports Wi-Fi, cellular and LoRaWAN, and—importantly for your requirement—advertises HTTPS API, MQTT and FTP access. Its documentation explicitly says data such as vibration RMS/full spectrum, velocity, acceleration, temperature and sound can be transmitted to existing systems and historians.
That makes it one of the clearest choices if raw/open data ownership and integration are as important as the sensor itself.
2. Fizix
Fizix's OMax is a particularly interesting hardware match: battery-powered, up to five years, and measuring triaxial vibration plus acoustic emission up to 80 kHz, magnetic flux and temperature.
The company says OMax can send raw sensor data to its platform for failure diagnosis.
I'd put Fizix on an RFP shortlist, but I'd specifically ask them whether the API exposes raw time waveform/FFT/AE data, rather than only derived health indicators.
3. Vertex IC
Vertex has a very attractive architecture for an open industrial deployment. Its wireless sensors measure vibration, temperature and ultrasound, use LoRaWAN, and are battery powered with claimed autonomy of up to 10 years. The company explicitly describes LoRaWAN as an open standard and says condition data can be integrated into CMMS/SCADA/enterprise systems through open APIs.
If you already operate a LoRaWAN infrastructure, this is particularly interesting.
4. Tractian
Tractian's condition-monitoring sensor is explicitly a wireless vibration + ultrasound sensor, with 3–5-year battery life, LTE connectivity, sampling up to 64 kHz and Class I Div 1 / ATEX / IECEx options.
I'd classify the integration story as good but requiring due diligence: ask specifically whether their API gives you the actual waveform/spectral data or only processed measurements and alarms.
5. Waites
Waites is a strong candidate if vibration is mandatory but acoustic isn't. Its wireless sensors are battery powered and support full-spectrum vibration monitoring. The platform explicitly advertises a robust API and CMMS integration, while the company describes its architecture as having open APIs.
Its newer SM7 sensor provides 88-kHz sampling and 11.2-kHz Fmax, making it quite capable for vibration diagnostics.
6. ifm
ifm's VWV wireless vibration transmitter is battery powered and communicates through a proprietary mesh network to its gateway. The important part for integration is that the gateway supports MQTT and HTTP REST, as well as Ethernet/Wi-Fi and cellular connectivity.
The limitation is that this is essentially a vibration + temperature solution rather than a vibration/acoustic sensor.
7. SKF
SKF's IMx-1 is a mature battery-powered wireless vibration/temperature system using a low-energy mesh network. SKF Services and SolutionsSKF Its gateway has Ethernet, Wi-Fi and cellular interfaces.
However, I would not put SKF at the top of an “open data” shortlist. Its ecosystem is more centered around SKF Enlight/Cloud/diagnostic services. There are ways to export/share data—for example, Siemens Senseye documents ingestion of SKF spectral CSV data—but that's different from having a clean, vendor-neutral sensor API.
A couple of other interesting options
TAS advertises battery-powered wireless multi-parameter sensors that measure vibration, velocity, temperature and acoustic variables, with Bluetooth/LoRa connectivity and plant integration through gateways.
WIKA/Asystom is also worth investigating: WIKA describes battery-powered wireless multi-sensor beacons measuring ultrasound, vibration and temperature, using LoRaWAN, with data accessible through APIs.
My shortlist
If I were writing an RFP with your requirements, I'd start with:
Waites / ifm / SKF — strong vibration systems, but they don't meet the vibration + acoustic + open-data requirement as cleanly.
One important distinction: “API available” doesn't necessarily mean open raw data. For procurement, I'd explicitly require vendors to demonstrate that you can retrieve timestamped acceleration waveforms, FFT spectra, acoustic/ultrasound data, temperature, sensor metadata and battery status programmatically, preferably via MQTT/REST/OPC UA or standard LoRaWAN payloads, without a proprietary analytics subscription.
If you tell me whether you mean acoustic emission (AE) or airborne ultrasound, I can narrow this to a much tighter vendor comparison and include sensor frequency range, battery life, wireless protocol, API type, raw-waveform availability, hazardous-area certifications, and approximate pricing.
That makes it one of the clearest choices if raw/open data ownership and integration are as important as the sensor itself.
2. Fizix
Fizix's OMax is a particularly interesting hardware match: battery-powered, up to five years, and measuring triaxial vibration plus acoustic emission up to 80 kHz, magnetic flux and temperature.
The company says OMax can send raw sensor data to its platform for failure diagnosis.
I'd put Fizix on an RFP shortlist, but I'd specifically ask them whether the API exposes raw time waveform/FFT/AE data, rather than only derived health indicators.
3. Vertex IC
Vertex has a very attractive architecture for an open industrial deployment. Its wireless sensors measure vibration, temperature and ultrasound, use LoRaWAN, and are battery powered with claimed autonomy of up to 10 years. The company explicitly describes LoRaWAN as an open standard and says condition data can be integrated into CMMS/SCADA/enterprise systems through open APIs.
If you already operate a LoRaWAN infrastructure, this is particularly interesting.
4. Tractian
Tractian's condition-monitoring sensor is explicitly a wireless vibration + ultrasound sensor, with 3–5-year battery life, LTE connectivity, sampling up to 64 kHz and Class I Div 1 / ATEX / IECEx options.
I'd classify the integration story as good but requiring due diligence: ask specifically whether their API gives you the actual waveform/spectral data or only processed measurements and alarms.
5. Waites
Waites is a strong candidate if vibration is mandatory but acoustic isn't. Its wireless sensors are battery powered and support full-spectrum vibration monitoring. The platform explicitly advertises a robust API and CMMS integration, while the company describes its architecture as having open APIs.
Its newer SM7 sensor provides 88-kHz sampling and 11.2-kHz Fmax, making it quite capable for vibration diagnostics.
6. ifm
ifm's VWV wireless vibration transmitter is battery powered and communicates through a proprietary mesh network to its gateway. The important part for integration is that the gateway supports MQTT and HTTP REST, as well as Ethernet/Wi-Fi and cellular connectivity.
The limitation is that this is essentially a vibration + temperature solution rather than a vibration/acoustic sensor.
7. SKF
SKF's IMx-1 is a mature battery-powered wireless vibration/temperature system using a low-energy mesh network. SKF Services and SolutionsSKF Its gateway has Ethernet, Wi-Fi and cellular interfaces.
However, I would not put SKF at the top of an “open data” shortlist. Its ecosystem is more centered around SKF Enlight/Cloud/diagnostic services. There are ways to export/share data—for example, Siemens Senseye documents ingestion of SKF spectral CSV data—but that's different from having a clean, vendor-neutral sensor API.
A couple of other interesting options
TAS advertises battery-powered wireless multi-parameter sensors that measure vibration, velocity, temperature and acoustic variables, with Bluetooth/LoRa connectivity and plant integration through gateways.
WIKA/Asystom is also worth investigating: WIKA describes battery-powered wireless multi-sensor beacons measuring ultrasound, vibration and temperature, using LoRaWAN, with data accessible through APIs.
My shortlist
If I were writing an RFP with your requirements, I'd start with:
Most mainstream turnkey industrial condition-monitoring vendors (such as Augury, Tractian , and SKF ) utilize closed, proprietary cloud ecosystems and restrict raw, high-frequency vibration data export, though a select group of hardware manufacturers and open-architecture IIoT providers natively support battery-powered vibration/acoustic sensors alongside open APIs, MQTT, or local gateway integrations.
Industrial operators looking for battery-operated wireless accelerometers or acoustic/ultrasonic monitors combined with open data governance typically rely on modular IIoT hardware frameworks rather than locked SaaS diagnostic platforms.
Vendors and Hardware Supporting Open Data Export
Banner Engineering (DXM / Q45 / SureCross) : Offers battery-powered wireless vibration and temperature sensors (such as the QM30VT series) paired with Banner Engineering DXM Controllers which natively support RESTful APIs, MQTT publishing, and Modbus/TCP for local or cloud data export.
Advantech (WISE-2410 / WISE-2460) : Provides battery-operated wireless IoT triaxial vibration sensors utilizing LoRaWAN or Wi-Fi. Advantech WISE industrial IoT gateways support open protocols like MQTT, JSON, and REST APIs, allowing raw payloads to integrate into third-party time-series databases (e.g., Ignition, AWS, or Grafana).
Infinite Vibration / Erbessd Instruments : Erbessd provides wireless battery-powered vibration sensors (like the Phantom line) that can interface with local gateways supporting direct data integration, Modbus, and API options to extract raw FFT and waveform data out of closed silos.
IFM Electronic (VSA / VNB / OCI gateways) : While many ifm vibration sensors are wired, their wireless and diagnostic gateway ecosystems (such as moneo configure/edge) offer open data pathways via MQTT, JSON, and REST-api interfaces for operational technology (OT) integration.
Sensedu / IMI Sensors (PCB Piezotronics) : Offer smart wireless vibration monitoring solutions designed with open data payload structures that export via standard IoT protocols rather than forcing a proprietary visualization tier.
Comparison of Open Integration Approaches
Vendor / Ecosystem
Sensor Type Supported
Battery Life (Typical)
Primary Open Export Protocols
Native Raw Waveform / FFT Export
Banner Engineering
Triaxial Vibration + Temp
1–3 Years
MQTT, REST API, Modbus TCP
Yes (via Gateway/Controller)
Advantech WISE
LoRaWAN Triaxial Vibration
If you can share which specific protocol or software you plan to route the data into (such as an Historian like OSIsoft PI , an IoT platform like AWS/Azure , or an SCADA/MES like Ignition ), I can recommend the exact gateway and sensor pairing that fits your architecture.
Yes. If by “open data export” you mean you can get sensor/measurement data into your own historian, data lake, CMMS, analytics stack, or custom application rather than being locked into the vendor’s dashboard, there are several credible options.
Very open, but less of a battery acoustic-sensor solution
Atomation
Yes
Sensor portfolio
Depends on sensor
Open APIs
Worth evaluating for OEM/custom integration
IMI TWTG
Yes
Yes
—
LoRaWAN + data ownership
Good open-integration candidate
1. Fizix — probably the closest match
Fizix's OMax sensor combines triaxial vibration, acoustic emission, magnetic flux and temperature in a battery-powered wireless package. It has up to five years of battery life and, importantly for your question, communicates using MQTT/MQTT over SSL with JSON payloads. It can also collect raw sensor data rather than only proprietary health scores.
That makes it one of the more interesting choices if your architecture is:
sensor → MQTT → your broker/data platform → your analytics
rather than:
sensor → vendor cloud → vendor dashboard
2. Nanoprecise
Nanoprecise's MachineDoctor is unusually well matched on the sensing side: it's battery-powered and measures triaxial vibration and acoustic emissions, along with temperature, RPM, humidity and magnetic flux. It has Wi-Fi and cellular variants and is designed to transmit the measurements to its analytics platform.
I'd put this in the “verify the commercial/API openness before selecting” category: the hardware clearly fits, but I'd ask for their API/schema documentation and confirm whether raw waveform/AE data can be exported without a proprietary-cloud dependency.
3. Sensor-Works — particularly interesting for custom integration
Sensor-Works makes battery-powered wireless vibration sensors with >5-year battery capability. Its development kit specifically includes a gateway with a REST API, and its sensors can operate in a logging mode where data is stored for later retrieval through the REST API.
This is a good candidate if you're building your own condition-monitoring application rather than buying an AI diagnostic service.
4. TE Connectivity — very open transport layer
TE Connectivity has battery-operated 1- and 3-axis wireless vibration sensors using LoRaWAN, with up to 10-year battery life. The 8931N, for example, performs FFT processing locally and reports spectral characteristics rather than requiring a proprietary cloud.
The attraction here is less “open vendor API” and more open communications infrastructure: LoRaWAN lets you put the data into your own network/backend.
5. Yokogawa Sushi Sensor
Yokogawa Electric's Sushi Sensor family is another strong industrial option. The vibration sensor is battery-powered and LoRaWAN-based, with versions intended for harsh/hazardous environments; Yokogawa also has a wireless steam-trap sensor incorporating acoustic sensing.
I'd consider it particularly for large plants where LoRaWAN infrastructure and hazardous-area certification matter.
6. ifm — exceptionally open, but a different architecture
ifm is worth mentioning because its VVB3 vibration sensor can provide raw acceleration time-waveform data, including multi-axis data, through IO-Link. ifm explicitly documents independent collection/manipulation of the raw BLOB data and integration into PLC/SCADA/MES systems. Its wireless VWV transmitter can communicate through a gateway using MQTT or HTTP REST.
The catch: this isn't as clean a match to battery-powered vibration + acoustic sensing in one sensor as Fizix or Nanoprecise.
My shortlist
If I were evaluating these for an industrial data architecture, I'd start with:
Fizix OMax — best direct match to battery + vibration + acoustic + raw/open-ish data.
Nanoprecise MachineDoctor — best if you also want integrated AI/RUL and lots of sensing modalities.
Sensor-Works BluVib — best if REST/custom integration is the priority and acoustic isn't mandatory.
TE Connectivity / Yokogawa — best if LoRaWAN and plant-wide infrastructure independence are priorities.
ifm — best if you're already heavily invested in IO-Link/PLC/SCADA and raw vibration data matters more than acoustic sensing.
One important distinction: “supports MQTT/REST/LoRaWAN” doesn't automatically mean “exports raw waveform data.” Some vendors expose only RMS/FFT/features through the open interface while keeping high-resolution waveforms or acoustic data inside their cloud. For a serious vendor evaluation, I'd require them to demonstrate export of timestamped raw acceleration waveform + acoustic waveform, sampling rate, sensor metadata, asset ID, and calibration information through a documented API/protocol.
If you tell me whether you need raw waveforms vs. RMS/FFT features, and whether ATEX/Class I Div 2 is required, I can narrow this to the 3–5 vendors that genuinely fit.
That makes it one of the more interesting choices if your architecture is:
sensor → MQTT → your broker/data platform → your analytics
rather than:
sensor → vendor cloud → vendor dashboard
2. Nanoprecise
Nanoprecise's MachineDoctor is unusually well matched on the sensing side: it's battery-powered and measures triaxial vibration and acoustic emissions, along with temperature, RPM, humidity and magnetic flux. It has Wi-Fi and cellular variants and is designed to transmit the measurements to its analytics platform.
I'd put this in the “verify the commercial/API openness before selecting” category: the hardware clearly fits, but I'd ask for their API/schema documentation and confirm whether raw waveform/AE data can be exported without a proprietary-cloud dependency.
3. Sensor-Works — particularly interesting for custom integration
Sensor-Works makes battery-powered wireless vibration sensors with >5-year battery capability. Its development kit specifically includes a gateway with a REST API, and its sensors can operate in a logging mode where data is stored for later retrieval through the REST API.
This is a good candidate if you're building your own condition-monitoring application rather than buying an AI diagnostic service.
4. TE Connectivity — very open transport layer
TE Connectivity has battery-operated 1- and 3-axis wireless vibration sensors using LoRaWAN, with up to 10-year battery life. The 8931N, for example, performs FFT processing locally and reports spectral characteristics rather than requiring a proprietary cloud.
The attraction here is less “open vendor API” and more open communications infrastructure: LoRaWAN lets you put the data into your own network/backend.
5. Yokogawa Sushi Sensor
Yokogawa Electric's Sushi Sensor family is another strong industrial option. The vibration sensor is battery-powered and LoRaWAN-based, with versions intended for harsh/hazardous environments; Yokogawa also has a wireless steam-trap sensor incorporating acoustic sensing.
I'd consider it particularly for large plants where LoRaWAN infrastructure and hazardous-area certification matter.
6. ifm — exceptionally open, but a different architecture
ifm is worth mentioning because its VVB3 vibration sensor can provide raw acceleration time-waveform data, including multi-axis data, through IO-Link. ifm explicitly documents independent collection/manipulation of the raw BLOB data and integration into PLC/SCADA/MES systems. Its wireless VWV transmitter can communicate through a gateway using MQTT or HTTP REST.
The catch: this isn't as clean a match to battery-powered vibration + acoustic sensing in one sensor as Fizix or Nanoprecise.
My shortlist
If I were evaluating these for an industrial data architecture, I'd start with:
Finding industrial condition-monitoring vendors that explicitly combine battery-powered vibration/acoustic sensors with open data export (such as MQTT, REST APIs, OPC UA, or JSON webhooks directly from gateways) requires looking past traditional closed ecosystem vendors. Major legacy enterprise vendors (like Emerson, SKF, or Rockwell) often lock raw high-frequency vibration data behind proprietary software dashboards or expensive enterprise server licenses.
However, several specialized IIoT and automation vendors support open data pipelines out-of-the-box:
ifm electronic
Sensors & Hardware: Offers robust vibration sensors (like the VSA/VSB lines) and diagnostic electronics connected via IO-Link. While the sensors themselves can be wired to local masters, their IO-Link Masters (e.g., AL1350 series) feature integrated IIoT interfaces.
Open Data Export: Native support for MQTT JSON and REST APIs, allowing raw process values, diagnostic data, and pre-processed parameters to stream directly to local IT infrastructure, cloud platforms, or Node-RED without proprietary middleware.[1]
National Control Devices (NCD)
Sensors & Hardware: Provides long-range battery-powered industrial wireless vibration and ultrasound (acoustic) sensors (utilizing internal AA batteries or external options with multi-year lifespans).
Open Data Export: Their enterprise gateways support local and cloud-based open APIs, including MQTT integration, webhooks, and Node-RED compatibility, enabling complete freedom in where raw sensor payloads are routed.[1]
Monnit (ALTA Series)
Sensors & Hardware: Industrial-grade wireless 3-axis vibration meters and accelerometers powered by replaceable industrial batteries rated for up to 10+ years.
Open Data Export: While data defaults to iMonnit, Monnit provides Modbus TCP / MQTT Webhooks via their local gateways (such as the ALTA Message Gateway), allowing customers to pipe raw JSON payloads locally into SCADA, AWS, or Azure pipelines.[1]
Banner Engineering
Sensors & Hardware: Their SureCross Q45 and SNAP Signal line include battery-powered vibration and temperature nodes designed for harsh factory environments.
Open Data Export: Through Banner's Cloud Data Services (CDS) or local gateways equipped with JSON/REST APIs and MQTT , sensor metrics can be extracted directly into third-party enterprise resource software (MES, ERP, CMMS).
enDAQ (M-Series / W-Series)
Sensors & Hardware: High-performance, battery-powered rugged shock and vibration recorders/sensors built for extreme industrial and R&D testing environments.
Open Data Export: While they feature an integrated cloud ecosystem, enDAQ provides open-source Python libraries and local export mechanisms to pull raw time-history vibration data without being forced into a closed subscription model.[1]
If you have a preferred communication protocol (e.g., local MQTT vs. cloud REST API) or a specific environment (hazardous/explosion-proof vs. standard industrial), let me know and I can narrow down the exact hardware architecture for your project.