Smart machine maintenance (IMAGE)

Saarland University

Smart machine maintenance

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

Usage Restrictions

The Press photos can be used free of charge in connection with this press release and in reporting on Saarland University. Please name the photographer as the picture reference.

License

Licensed content

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.