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.
Fraunhofer IEM shows how machines and systems can become intelligent using machine learning methods. A typical area of application is the operational monitoring of a mechanical industrial centrifuge used for the production of apple juice. Here, companies use their employees' empirical knowledge to detect deviations from normal conditions. The Fraunhofer IEM has developed a digital expert system that will support employees in this task in the future. Machine learning methods were used to learn the relationship between data from specifically integrated sensors and personal expert knowledge. This enables production errors to be detected and prevented at an early stage without the need for employees to continuously monitor the centrifuge. Maintenance work is simplified. Visitors to Hannover Messe 2019 can experience how the expert system continuously monitors and analyzes the operating status of the separator and indicates deviations from normal operation.