Diagnosis with Causality Relationships and Directed Paths in PN Models
Abstract
Petri nets are a suitable tool for the diagnosis of discrete event systems. For this purpose, faulty behaviours are modelled by the firing of failure transitions. This paper is about structural sensitivity in Petri net with respect to the firing of the failure transitions. Algebraic results are provided to characterise the influence and dependence areas of the failure transitions and diagnosability of the systems is obtained as a consequence. The main advantage of our approach is to investigate the diagnosability without working out the marking tree of the diagnoser.