Fault detection of Discrete Event Systems using an identification approach
Résumé
In this paper, we focus on the identification of large-scale discrete-event systems for the purpose of fault detection. The properties of a model to be useful for fault detection are discussed. As appropriate model basis the nondeterministic autonomous automaton is chosen and metrics to evaluate the accuracy of the identified model are defined. An identification algorithm which allows setting the accuracy of the identified model is presented. Results are given for two case studies, one of a laboratory and another one of an industrial plant.
Origine : Fichiers produits par l'(les) auteur(s)
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