Predictive Maintenance

Predictive Maintenance – Predictive maintenance is the process of predicting when a system will fail before it actually happens. The idea behind predictive maintenance is to have a system that can predict failures and take measures to prevent them. Predictive maintenance is not only about avoiding failures, but also about improving efficiency, productivity and performance. It can be done through various methods like condition monitoring, anomaly detection, and data analytics. In order to gather insight about the machine, the maintenance team uses Industry 4.0 equipment such as an ultrasonic microphone, vibration sensors, power, particle or infrared sensors, temperature measurement and microphone installation, to mitigate the risk of failure and detect symptoms of the machine malfunctioning of in advance.

2023 Factory Digitalisation Guide

  • How software for factories fits industry 4.0 paradigms
  • Why digitisation of production plants fails?
  • What the MES price depends on?
  • What human resources do I have to reallocate to the project?

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