Strategic Research Part im Multi-Firm Projekt MFP 3.3 (COMET K2)

The SRP of this MFP will focus on methods for anomaly detection and prediction of the remaining useful lifetime of components or tools under varying environmental influences. Obtained algorithms will provide input for multiple research tasks. Furthermore, the SRP will comprise research related to computationally efficient machine learning alternatives, including the development of efficient hardware architectures of these methods as alternatives for classical learning settings