Predictive Maintenance 4.0 is particularly at home in the fields of Industry and Factory 4.0, automation and artificial intelligence. It refers to a modern process in which machines and systems in factories are monitored in such a way that potential failures can be predicted and prevented.
Sensors are used to continuously record important data such as temperature, vibration and running times. This data is analysed with the help of artificial intelligence and intelligent software. The system recognises signs of wear or faults at an early stage. As a result, maintenance work can be planned in a targeted manner before expensive downtime or damage occurs.
An illustrative example: In a car production facility, Predictive Maintenance 4.0 constantly measures the condition of a robot welding system. If the system detects unusual vibrations, it suggests replacing the affected component in good time - before the machine breaks down and production has to be stopped.
Predictive Maintenance 4.0 helps companies to save costs, make production more reliable and extend the service life of machines. It is an important step on the way to the "smart factory", in which everything is networked and optimally controlled.
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