Comparison of Interval Models and Quantised Systems in Fault Detection with Application to the DAMADICS Actuator Benchmark Problem

Abstract Model-based fault detection relies on checking the discrepancy between the measurements obtained from a monitored process and its model. In general, the model representing the process behaviour has substantial uncertainties. In this contribution, two fault detection methods that explicitly take the modelling uncertainties into account are presented and compared. The first approach uses the interval model while the second tackles the process to be monitored as a quantised system. The main ideas of both approaches are discussed and the results of the fault detection using each approach will be analysed and compared with respect to the DAMADICS actuator benchmark.

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