Predictive maintenance on automatic machines

Gianbattista Gruosso, Politecnico di Milano

The Industry 4.0 paradigm and the new Machine to Machine (M2M) and Industrial Internet of Things (IIoT) applications represent a new approach to goods and process monitoring in an industrial environment and allow for the development of new functions.

This technology centres around a system of sensors which not only supply information to individual machines but are also interconnected, enabling them to send data to department supervision centres or to other machines, which in turn use the information to manage their own processes.

The development of these technologies, coupled with the recent trend towards digitisation in industrial automation processes, opens up new potential for an activity that has always attracted the interest of technicians and process managers alike, namely predictive maintenance, otherwise known as “prognostics”. 

  • Read the complete article published on Ceramic World Review 118/2016

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