Machine learningLeading-edge cluster it's OWL shows new approaches
Companies and research institutions in the leading-edge cluster it's OWL are developing new approaches to machine learning for SMEs. The cluster is now showcasing exemplary solutions at the joint stand in Hall 16 A04 at Hannover Messe 2019.
Weidmüller is showcasing a live application for predictive maintenance that is already in use at compressor manufacturer Boge. With the help of industrial analytics, predictions can be made about future maintenance requirements during operation and service calls can be planned. By comparing automatically learned models based on real-time data, anomalies are registered and classified at an early stage. This allows the user to react precisely to potential problems before they affect the performance of the machines or systems.