A Definition of Anomalies, Measurements, and Predictions in Dynamical Engineering Systems for Streamlined Novelty Detection
Jan Michael Spoor, Jens Weber, Jivka Ovtcharova · 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) · 2022
Although anomaly detection is an important task in engineering, in the practical application it is often unclear what an anomaly is and how it affects the planning and oper-ation of complex manufacturing systems. The authors propose a definition of “scientific” anomalies by an approach based on philosophy of science. The idea is to separate measurement noise and prediction errors. Based on this definition, a framework is established and applied to dynamical systems, resulting in two distinct deviation terms separating “scientific” anomalies from measurement noise. These distinct deviation terms can be used in future research to set up a metric and evaluation of the prediction model quality. The framework is demonstrated through an example by conducting an analysis to describe anomalous behavior of cold welding in holding pins.