A ‘virtual engineer’ which uses artificial intelligence to predict when machines need repairing could significantly improve the efficiency of maintenance scheduling.
The system, created by scientists at the University of Portsmouth, uses sensors on vulnerable parts of the machine, such as the bearings, to ‘learn’ how it operates while predictive software monitors analyses performance to calculate when a part is wearing out and alerts technicians. The engineer is informed which part of the machine will soon…
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