Abstract

This paper is about sensoring and diagnosis for discrete event systems modelled with ordinary Petri nets. Immediate and delayed fault detection, isolation and diagnosis are discussed. Failures are represented with fault transitions and a faulty behaviour occurs when a sequence of transitions is fired that contains at least one fault transition. The main contributions are to discuss the sensor selection for FDI according to the Petri net model of faulty behaviours and to investigate structural approaches for diagnosis. The results are illustrated on a two tanks system (benchmark of AS193, GDR MACS).

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