New projects of the leading-edge cluster it's OWL in Hanover
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.