ML4Pro²

ML4Pro²

Machine learning for production and its products (ML4Pro²).

The goal of the project is to make ML available for intelligent products and production processes. To this end, the latest ML methods are to be integrated into products and production chains. Furthermore, it is about raising the awareness of companies to use ML for agile business models. Key topics are hybrid learning methods, the integration of expert knowledge, the interpretability of data, learning on data streams, and cognitive edge computing. ML methods will be considered across applications based on three industrial use cases: Condition Monitoring, Process Optimization, and Product Quality Improvement. Results and methods are made available to other companies on an ML platform. This platform includes, for example, reference implementations, methods for data pre-processing and data visualization as well as application knowledge about typical processes when using the ML methods.

Further information: itsOWL

Project leader: Prof. Dr. Ulrich Rückert

Project duration: 01.12.2018 to 30.11.2021