Preventive maintenance AI is particularly at home in the fields of artificial intelligence, automation, industry and Factory 4.0. It describes the use of artificial intelligence to plan maintenance work on machines or systems in advance - and not just when a defect has already occurred.
Instead of a production machine first breaking down and then having to be repaired, preventive maintenance AI uses data and sensors to recognise signs of potential problems at an early stage. The AI continuously analyses operating data and warns in good time before breakdowns or major damage occur. This not only saves costs for expensive repairs, but also increases the reliability and service life of the systems.
One example: In a factory, sensors are attached to the machines that measure temperature, vibrations or noise. The preventive maintenance AI recognises unusual patterns and reports that a machine should be serviced soon. Specialist personnel can intervene in a targeted manner before a real breakdown occurs. This keeps production running smoothly and efficiently.
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