DRESDEN, Germany—Engineers at the Fraunhofer Institute for Photonic Microsystems (IPMS) here have developed a new system that combines sensor technology, data acquisition and AI-based data evaluation for condition monitoring and predictive maintenance. It opens up new possibilities for the preventive maintenance of plants and machines.

“Our [system] enables precise condition monitoring of machines through the use of sensors and intelligent data analysis,” says Marcel Jongmanns, Ph.D., project leader at Fraunhofer IPMS. “By integrating AI into the sensors, we can detect damage before it occurs, optimize maintenance intervals and minimize downtime.”