Titlebook: Machine Learning for Cyber-Physical Systems; Selected papers from Oliver Niggemann,Jürgen Beyerer,Christian Kühnert Conference proceedings‘

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,Domain Knowledge Injection Guidance for?Predictive Maintenance, gives a recommendation to data scientists on how domain knowledge can be injected into different phases of model development and suggests promising machine learning models for specific use cases. The guidance is applied exemplarily to two predictive maintenance use cases.

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,Control Reconfiguration of?CPS via?Online Identification Using Sparse Regression (SINDYc),rates possible faults. In the event of an actuator fault, the identified model is used to reconfigure the control using the Pseudo-Inverse method, optimizing the utilization of available redundancies. Both abrupt and incipient faults in the actuator dynamics are considered in this study..The online

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