Smart machine maintenance (IMAGE)
Caption
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. Steffen Klein (l.) and Christopher Schnur, research assistants in the group led by Andreas Schütze, are currently conducting research into the new system.
Credit
Oliver Dietze
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