Smart machine maintenance: New AI system also detects unknown faults


A new maintenance system is helping to make sensors smart. A research team led by Professor Andreas Schütze of Saarland University is combining artificial intelligence with sensors that gather status data on industrial machinery. The system is able to detect damage, wear and error states, and, uniquely, is also able to recognize when previously unknown machine states arise, learning from them and assigning them to their underlying root causes. This approach offers small and medium-sized companies a means of automating their machine maintenance and servicing operations, allowing them to plan more precisely and avoid unpleasant surprises.





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