An Efficient Fault Diagnosis Approach Based on Integer Linear Programming for Labeled Petri Nets

In this article, we present a fault diagnosis approach for discrete event systems using labeled Petri nets. In contrast to the existing works, a new fault class containing all the fault transitions is additionally introduced in the diagnosis function, leading to a more informative and precise diagno...

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Vydáno v:IEEE transactions on automatic control Ročník 66; číslo 5; s. 2393 - 2398
Hlavní autoři: Zhu, Guanghui, Feng, Lei, Li, Zhiwu, Wu, Naiqi
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.05.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Discrete event system
Discrete event systems
Fault diagnosis
Industrial Information and Control Systems
Industriella informations- och styrsystem
Integer linear programming
integer linear programming (ILP)
Integer programming
Labeling
Linear programming
Modeling
Petri net
Petri nets
ISSN:0018-9286, 1558-2523, 1558-2523
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Shrnutí:In this article, we present a fault diagnosis approach for discrete event systems using labeled Petri nets. In contrast to the existing works, a new fault class containing all the fault transitions is additionally introduced in the diagnosis function, leading to a more informative and precise diagnosis result. An integer linear programming (ILP) problem is built according to an observed word. By specifying different objective functions to the ILP problem, the diagnosis result is obtained without enumerating all observable transition sequences consistent with the observed word, which is more efficient in comparison with the existing ILP-based approaches.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0018-9286
1558-2523
1558-2523
DOI:10.1109/TAC.2020.3008712