Learn the methods and benefits of using accelerometers for predictive maintenance, and how accelerometers from Analog Devices open the door to a host of new possibilities.
Maintenance, traditionally preventive or corrective, usually represents a significant portion of production costs. Now, with the IIoT (Industrial Internet of Things), we can monitor a machine’s health status and enable predictive maintenance. Instead of replacing worn parts at fixed intervals, the use of sensors—particularly accelerometers—makes it possible to analyze a machine’s operational status, allowing operators to anticipate breakdowns and realize substantial operational savings.
Industry 4.0, made possible by the generalization of digitization and connectivity for industrial equipment, is on track to revolutionize production tools. This game changer makes the production chain more flexible and allows for the manufacture of customized products. Maintenance, too, can benefit from the advantages of digitization and connectivity of the IIoT.
Learn how accelerometers from Analog Devices enable you to build models for predictive maintenance, and open the door to a host of new possibilities.
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