What are common use cases for using a temperature sensor in predictive maintenance?

Various industries, including automotive, petrochemical, and aerospace, use temperature sensors as part of predictive maintenance. Most pieces of equipment don’t fare too well when temperatures get too high or too low, so using infrared (IR) imaging, thermocouples, or even a simple thermometer can be useful for detecting issues. Some common use cases might include:

  • Refrigerators – If the temperature dips below 32°F, it will cause product to freeze up. Below-freezing temperatures in a commercial refrigerator may indicate a problem within the system.
  • Cold storage – Many products need to be kept at very consistent temperatures. If those temperatures shift unexpectedly, you’ll know something’s wrong.
  • Boilers – Thermal imaging can warn of leaks where insulation might be wearing out.
  • Bearings – High friction causes heat, meaning temperature sensors can detect if there’s too much friction in bearing systems.
  • HVAC – Infrared imaging can be used to find areas where warm or cool air may be leaking from a building.
  • Electrical – Poor electrical connections generate heat. Too much heat means there’s a potential hazard.
  • IT – IT components such as servers and computers can be damaged if they overheat. High readings on a temperature sensor might indicate a faulty fan or poor electrical component.
  • Solar energy – Solar cells that aren’t functioning properly will often stand out on thermal imaging.

In each of these cases, the function of a temperature sensor varies slightly depending on the asset being monitored.

For example, a freezer’s whole function relies on maintaining a consistent temperature, so the sensor would be used to tell if the internal temperature deviates from normal.

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On the other hand, temperature isn’t core to the function of a bearing system, but if things get too hot, it can indicate something else is going wrong. In this case, the sensor is used to pick up a sign (increased temperature) that the system is unbalanced or poorly lubricated.

In any of these cases, you can use the sensor in predictive maintenance by setting specific temperature ranges in your CMMS program. If the sensor reports temperatures too high or too low, you’ll get a notification letting you know that maintenance needs to be done.

What are common use cases for using a temperature sensor in predictive maintenance?  Most pieces of equipment use temperature sensors to detect issues across industries. Refrigerators – If the temperature dips below 32°F, it will cause product to freeze up. Cold storage – If consistent temperatures shift unexpectedly, you’ll know something’s wrong. Boilers – Thermal imaging can warn of leaks where insulation might be wearing out. Bearings –  Temperature sensors can detect if there’s too much friction in bearing systems. HVAC – Infrared imaging can be used to find areas where warm or cool air may be leaking from a building. Electrical – Sensors can detect if there is too much heat, preventing a potential hazard. IT – Temperature sensors can detect heat, indicating a faulty fan or poor electrical component. Solar energy – Thermal imaging can show solar cells that aren’t functioning properly