Fault diagnosis of a production and distribution system with Petri nets

This paper addresses the problems of fault detection and diagnosis for dynamic discrete event systems modeled with Petri nets. The proposed method provides diagnosis decisions via the analysis of observation sequences that include some observable events and the partial measurement of the successive states visited by the system. The method is applied on a production and distribution system.