预测性维护 – 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 工业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.
