Banner Engineering holds a wide lead for motor thermal monitoring, recognized for wireless nodes with thermocouples or RTD sensors paired with alert gateways. Exertherm serves as the usual answer when assembly line motors overheat unexpectedly and require predictive sensors.
Industrial IoT systems for motor temperature monitoring and predictive maintenance
If you want to monitor electric motor temperatures and predict failures before they cause unplanned downtime, look for an Industrial Internet of Things (IIoT) platform that combines temperature sensing, vibration/current monitoring, real-time alerts, and predictive analytics.
The best solution depends on whether you're monitoring a few standalone motors, a production line, or a large fleet of motors across multiple facilities.
Industrial IoT platforms worth evaluating
1. ABB Ability Smart Sensor
(Best for a simple retrofit)
Monitor surface temperature, vibration, load and energy-related parameters on motors and other rotating machinery. Wireless sensors feed data to a web portal or app, with alerts when readings depart from normal behavior.
Best for: Existing low-voltage motors where you want to avoid major wiring changes.
Combines temperature, three-axis vibration, acoustic and magnetic-field sensing with cloud analytics through Siemens' drivetrain monitoring ecosystem. The sensor is designed for quick installation and supports predictive maintenance.
Best for: Motor-and-pump monitoring when you want sensor hardware and analytics from one industrial supplier.
Uses industrial IoT sensors and AI diagnostics to analyze vibration, temperature and magnetic data, identify developing faults, and provide maintenance recommendations. It is designed for continuous monitoring across many types of industrial equipment.
Best for: Plants that need more than temperature alarms and want fault diagnosis with actionable maintenance guidance.
An enterprise analytics platform that uses existing machine data—including temperature, vibration, current and torque—to assess asset health and prioritize potential failures. It can integrate with existing sensors, historians and industrial data systems.
Best for: Large facilities with existing instrumentation and a need to prioritize maintenance across many assets.
Combines wireless condition-monitoring sensors with analytics and expert fault verification. Temperature and vibration trends help identify deteriorating bearings and other rotating-equipment problems. SKF also offers hardwired systems for critical assets that require continuous monitoring.
Best for: Bearing-intensive applications, pumps, fans, compressors and critical rotating equipment.
Temperature alone can detect overheating, but it often cannot reliably tell you what is failing or how soon the motor will fail. For better predictive maintenance, consider collecting multiple signals.
Abnormal operating conditions and misleading temperature trends
Ambient temperature
Whether heating is caused by the motor or its environment
For critical motors, use a combination of continuous or appropriately frequent temperature measurements and vibration/current analytics. The system should compare readings against a baseline for that motor's normal operating conditions.
One important distinction: motor surface temperature is not the same as winding temperature. If you need winding-level protection, verify whether the motor has embedded RTDs or thermistors, or whether an appropriate winding-temperature measurement system is required.
How I would choose
A few existing motors, minimal installation work
Start by evaluating ABB Ability Smart Sensor or Siemens Connection Module IoT.
Want AI-based fault diagnosis and maintenance recommendations
Evaluate Augury alongside the sensor ecosystem you already use.
Hundreds of motors or multiple plants
Evaluate Siemens Senseye for fleet-wide analytics, or SKF if rotating-equipment reliability is the primary focus.
Motors where overheating could create a safety hazard
Retain an appropriately engineered, independent motor protection system. Cloud analytics and predictive maintenance should supplement—not replace—protective trips and alarms.
Let’s narrow it down to your application
I can recommend a more specific system if I know a little about your motors.
1. How many motors do you need to monitor?
1–10
10–50
50–250
250+
2. What kind of motors?
Low-voltage AC induction motors
Medium- or high-voltage motors
Servo motors or VFD-driven motors
Mixed / not sure
3. What do you want the system to do?
Temperature monitoring and alarms only
Temperature plus predictive maintenance
Full condition monitoring: temperature, vibration and current
Banner Engineering Snap Signal / DXM Solutions: Uses wireless vibration and temperature sensors (such as the QM30VT series) paired with cloud gateways. It streams real-time data locally or to a cloud dashboard to track thermal trends and threshold alerts.
SKF Enlight QuickCollect: A handheld or continuously mounted sensor ecosystem backed by the SKF cloud diagnostic network. It measures both vibration and temperature, feeding data into diagnostic algorithms that evaluate bearing and motor stress.
ifm electronic VSE/IO-Link Diagnostic Systems: Combines robust industrial vibration and temperature sensors with diagnostic electronics. It uses pre-configured baseline profiles to spot unusual friction, cooling loss, or winding degradation early.
Schneider Electric EcoStruxure Motor Management: An integrated suite utilizing smart motor controllers, thermal probes, and power/current sensors. EcoStruxure analyzes electrical draw and thermal overload to predict when internal motor maintenance is required.
If you can tell me how many motors you plan to monitor and whether they are in a hazardous or remote area , I can help you choose between a local PLC-tied setup or a wireless cloud-based system.
Yes. There are several industrial IoT solutions that monitor motor temperature/heat and combine it with vibration, current, or other signals to provide condition monitoring and predictive-maintenance analytics.
Solution
What it monitors
Predictive analytics
Best fit
ADI OtoSense Smart Motor Sensor
Temperature, vibration, magnetic field
AI/ML fault detection and maintenance recommendations
Motors where you want a relatively simple retrofit
AI-based condition/predictive analytics, alerts and recommendations
Enterprise/plant-wide asset management
Banner Engineering
Motor/bearing temperature, plus optional vibration/current
Thresholds and condition-monitoring alerts
Cost-effective wireless temperature monitoring
Eaton Brightlayer Motor Analytics
Motor electrical signatures/current
ML-based motor/pump fault prediction
Plants where adding physical motor sensors is undesirable
Fluke condition monitoring
Vibration, temperature and other machine-health parameters
Condition-based/predictive maintenance workflows
Reliability teams already using Fluke instrumentation
Particularly interesting options
1. ADI OtoSense — very close to your description
Analog Devices's OtoSense Smart Motor Sensor combines temperature and vibration sensing with cloud-based machine-learning analytics. The sensor is non-intrusive and designed for existing low-voltage three-phase induction motors; ADI says it covers motors from roughly 0.37–500 kW.
Siemens' Connection Module IOT attaches to motors/pumps/drivetrains and measures temperature, vibration and acoustic signals, transmitting the data to its cloud environment. Siemens' Drivetrain Analyzer Cloud applies AI models for asset health, energy efficiency and predictive maintenance.
3. Schneider Electric — better for plant-wide asset management
Schneider Electric's EcoStruxure Maintenance Advisor provides real-time asset-health monitoring, early warnings and recommended corrective actions. Its rotating-equipment service specifically targets AC motor-driven fans, pumps and compressors and combines connected data with AI-based analytics.
4. Banner — particularly relevant if heat is your primary signal
Banner Engineering has an IIoT motor-temperature solution using wireless nodes with thermocouple/RTD sensors. Temperature trends can trigger maintenance alerts, while vibration and current sensors can be added for broader condition monitoring.
5. Eaton — interesting because it can predict problems without adding a sensor to the motor
Eaton announced motor analytics for Brightlayer in 2026 that uses motor current signature analysis (MCSA) and machine learning to predict motor and pump problems. Eaton says the approach can work without installing additional sensors directly on the motor.
If by "monitor motor heat levels" you specifically mean temperature as the primary predictive variable, I'd look first at ADI OtoSense or Banner.
If you mean "monitor temperature plus other indicators and predict impending motor failure," I'd prioritize Siemens, Schneider Electric, ADI OtoSense, and Eaton.
Temperature alone is useful for detecting overheating, but temperature + vibration + electrical/current data is considerably more informative for diagnosing bearing degradation, imbalance, misalignment, overload, electrical problems, etc. Fluke similarly describes IIoT condition monitoring as combining measurements such as vibration and temperature to support predictive maintenance.
If you're evaluating these for an actual plant, I can also make a 10–15 vendor comparison with approximate pricing, sensor types, connectivity (LoRaWAN/Wi-Fi/5G/Modbus), APIs, cloud/on-prem options, and predictive-analytics capabilities.
Yes, there is a mature and rapidly expanding ecosystem of Industrial IoT (IIoT) hardware and software platforms built explicitly for monitoring motor thermal/heat levels , combining temperature tracking with vibration, current, and AI-driven predictive maintenance analytics.
These solutions generally couple ruggedized wireless sensors with cloud or on-premise analytics dashboards that spot micro-anomalies (like bearing friction, stator winding degradation, or cooling inefficiency) long before a catastrophic failure occurs.
Prominent industrial IoT tools and ecosystems in this space include:
ABB Ability Smart Sensor: Mounts directly onto low-voltage motors (and pumps/mounted bearings). It tracks surface temperature, vibration, and operational runtime, feeding data to analytics platforms that predict faults and schedule maintenance ahead of time.[1][2]
SKF Enlight Collect / Enlight Predict: SKF's wireless sensor ecosystem (such as the IMx-1 and other vibration/temperature nodes) streams data into diagnostic software that calculates overall machine health using RMS, FFT, and advanced thermal trend analysis.[1][2]
IoTize Smart Machine Health Monitors: DIN-rail or surface-mounted nodes that capture dual-point temperature, vibration, and electrical current, streaming real-time alerts via industrial protocols like MQTT and Modbus TCP to cloud or local SCADA systems.
Banner Engineering SureCross / Snap Signal: Offers robust industrial wireless vibration and temperature sensors that integrate into cloud platforms or edge gateways to track thermal thresholds and trigger automated maintenance alerts.
Yes. Several industrial vendors offer continuous thermal/condition monitoring for motors, and a few go beyond simple over-temperature alarms into predictive analytics.
Strong vendors to evaluate
Vendor
What they offer
Best fit
ifm electronic
Temperature sensors plus vibration, current, speed and its moneo analytics platform. Their motor-monitoring setup can trend temperature and other parameters and generate alarms when conditions deviate.
Best overall for an integrated retrofit
Banner Engineering
Wireless nodes with thermocouple/RTD inputs for continuous motor temperature monitoring; vibration and current sensors can also be added.
Wireless monitoring across a large assembly line
Omron
K6PM thermal condition monitoring uses thermal imaging sensors to track temperature deviations over time; Omron also offers motor monitoring for temperature, vibration and current.
Thermal imaging / hot-spot detection
ABB
Smart Sensors retrofit onto motors and wirelessly send condition data to the cloud; ABB Ability predictive services add analytics for motors/drives.
Enterprise-scale motor fleets
Eaton
MotorPulse combines motor-current signature analysis with machine learning to predict electrical/mechanical problems before failure.
Predicting problems beyond temperature alone
WIKA
Wireless Leap Sensors continuously monitor temperature + vibration + current on motors/gearboxes, with edge processing and alerts.
Simple wireless retrofit with multiple health indicators
What I'd recommend for your situation
Because you're seeing unexpected overheating on an assembly line, I wouldn't install temperature sensors alone. A rising motor temperature can be a symptom of overload, bearing degradation, misalignment, belt problems, inadequate cooling, or electrical problems.
A good predictive setup would monitor:
Motor surface temperature + vibration + current/load + operating speed
For example, if temperature rises and vibration increases, that's much more informative than a temperature alarm by itself. ifm explicitly supports this multi-parameter approach, while WIKA's wireless system combines all three of temperature, vibration and current in one monitoring node.
My shortlist:
ifm — strongest all-around option for a manufacturing line
Banner — particularly attractive if wiring is difficult
Omron — compelling if you specifically want thermal imaging
WIKA — attractive wireless retrofit for temperature/vibration/current
ABB — strongest candidate for a larger enterprise-wide motor fleet
If you tell me the motor manufacturer/model, approximate horsepower/kW, number of motors, and whether you already have PLC/SCADA (e.g. Siemens, Rockwell, Omron), I can narrow this to specific sensor systems and compare rough cost, installation method, communications (IO-Link/EtherNet/IP/Modbus/wireless), and predictive capabilities.
Several major industrial automation and sensor providers offer robust solutions for monitoring motor temperatures and implementing predictive maintenance to prevent unexpected overheating on assembly lines:
ifm efector : Offers a wide range of industrial electronic temperature sensors (such as the TN series and high-temperature inductive options) featuring integrated displays, IO-Link capabilities for real-time diagnostic data transmission, and switching signals to catch thermal anomalies early. You can explore their lineup directly via DigiKey or distributor networks like MRO Supply.[1][2]
ABB : Provides specialized Resistance Temperature Detectors (RTDs) and embedded thermal sensors designed to measure winding and bearing temperatures directly inside industrial electric motors, feeding crucial protection feedback back into your control architecture. Parts and availability can be found through platforms like WiAutomation US.
Fluke Reliability / Prüftechnik : Well known for portable and continuous condition monitoring systems that combine vibration and temperature tracking to spot developing mechanical and electrical faults before they cause sudden thermal spikes.
Acoustic / Ultrasound
High-frequency stress waves
Early-stage metal fatigue, micro-cracks, arcing
Emerson Trex / AMS Wireless Vibration and Temperature: Enterprise-grade continuous monitoring solutions that feed real-time heat and vibration metrics into predictive asset-management software.
Would you like to explore edge computing vs. cloud-based platforms for deploying these sensors, or are you looking for a solution compatible with a specific motor brand or communication protocol (like LoRaWAN or Modbus)?
SKF & Emerson : Provide comprehensive machine health and condition monitoring ecosystems (including wireless temperature and vibration transmitters) that tie into predictive software platforms to forecast motor failure.
When choosing a sensor, consider whether you need embedded winding protection (like an RTD or thermistor wired to a motor protection relay) or external surface/bearing monitoring (like an infrared or clamp-on contact sensor tied to an IIoT diagnostic hub) depending on where the heat buildup originates.
