Fourier-Motzkin method for failure diagnosis in petri net models of discrete event systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Authors

Colleges, School and Institutes

Abstract

This paper presents a new technique for failure diagnosis in partially observable discrete event systems modelled as Petri nets. In this new technique we adopt Integer Fourier-Motzkin Elimination (IFME) method. We start with a Petri net and produce the state equations. The state equations are a set of integer valued inequalities in variables that represent number of firing of transitions. Occurrences of failure can also be expressed by inequalities. Then we extend the set of inequalities obtained from the state equations to two new sets. The first is created from adding the inequality for failure. The second is created from adding the negation of the inequality for failure. Applying the IFME method to the two resulting sets of inequalities, the variables corresponding to unobservable transitions will be eliminated. Then we prove that for acyclic Petri nets, the reduced set of inequalities after the elimination can be used to diagnose failures.

Details

Original languageEnglish
Title of host publicationProceedings of the 13th International Workshop on Discrete Event Systems (WODES 2016)
Publication statusE-pub ahead of print - 23 Jun 2016
Event13th International Workshop on Discrete Event Systems (WODES 2016) - Xi'an, China
Duration: 30 May 20161 Jun 2016

Conference

Conference13th International Workshop on Discrete Event Systems (WODES 2016)
Period30/05/161/06/16