Continuous Fitness Check Predicts Potential Machine Faults (IMAGE)

Saarland University

Continuous Fitness Check Predicts Potential Machine Faults

Caption

It keeps a constant eye on the condition of the machine, it carries out diagnostic analyses and it notifies the operator when a part needs to be replaced. The research team led by Andreas Schuetze at Saarland University has developed an early warning system for industrial assembly, handling and packaging processes. Nikolai Helwig (left) and Tizian Schneider, research assistants in the group, are pictured testing the smart condition monitoring system on an electromechanical cylinder. The research team will be exhibiting their technology at the Saarland Research and Innovation Stand (Hall 2, Stand B46) at Hannover Messe, which runs from April 24th to April 28th.

Credit

Oliver Dietze

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