Fault diagnosis for discrete events systems described by partially observed Petri nets.

Discrete event systems Fault diagnosis Observer design Petri nets

Journal

ISA transactions
ISSN: 1879-2022
Titre abrégé: ISA Trans
Pays: United States
ID NLM: 0374750

Informations de publication

Date de publication:
Sep 2022
Historique:
received: 23 02 2021
revised: 14 09 2021
accepted: 17 09 2021
pubmed: 5 10 2021
medline: 5 10 2021
entrez: 4 10 2021
Statut: ppublish

Résumé

Fault diagnosis problem is discussed for discrete events systems described by partially observed Petri nets. Our goal is to detect and identify faults that may have occurred in both transitions and places assuming that we can measure some of them. The proposed approach is based on two mains steps (i) designing an algebraic observer for estimating the markings and the transitions of a partially observed Petri nets and (ii) presenting algorithms to detect and identify faults based on comparing the estimation of both the transitions and markings of the faulty system provided by an algebraic observer with those of the normal system. The effectiveness of the proposed approach is illustrated through a simple and a manufacturing example.

Identifiants

pubmed: 34602239
pii: S0019-0578(21)00494-8
doi: 10.1016/j.isatra.2021.09.010
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

220-228

Informations de copyright

Copyright © 2021 ISA. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

F Arichi (F)

Laboratoire d'automatique de Tlemcen (LAT), Université de Tlemcen, Algeria; Ecole supèrieure en sciences appliquées de Tlemcen, Algeria. Electronic address: arichi.fay@gmail.com.

B Cherki (B)

Ecole supèrieure en sciences appliquées de Tlemcen, Algeria. Electronic address: b.cherki@gmail.com.

M Djemai (M)

UPHF, CNRS UMR 8201 LAMIH, F-59313, Valenciennes, France. Electronic address: mohamed.djemai@uphf.fr.

S M Djouadi (SM)

Electrical Engineering and Computer Science Department, University of Tennessee, Knoxville, TN 37996-2100, USA. Electronic address: mdjouadi@utk.edu.

Classifications MeSH