Denkena, B.; Dittrich, M.-A.; Noske, H.; Witt, M.
(Heidelberg : Springer, 2020)
Numerous methods have been developed to detect process anomalies during machining. Statistical approaches for semi-supervised anomaly detection compute decision boundaries using information of normal running processes for ...