DocumentCode
391375
Title
Diagnosis of repeated failures in discrete event systems
Author
Jiang, Shengbing ; Kumar, Ratnesh ; Garcia, Humberto E.
Author_Institution
GM R&D & Planning, Warren, NJ, USA
Volume
4
fYear
2002
fDate
10-13 Dec. 2002
Firstpage
4000
Abstract
We introduce the notion of repeated failure diagnosability for diagnosing the occurrence of a repeated number of failures in discrete event systems. This generalizes the earlier notion of diagnosability that was used to diagnose the occurrence of a failure, but from which the information regarding the multiplicity of the occurrence of the failure could not be obtained. It is possible that in some systems the same type of failure repeats a multiple number of times. It is desirable to have a diagnoser which not only diagnoses that such a failure has occurred but also determines the number of times the failure has occurred. To aide such analysis we introduce the notions of K-diagnosability (K failures diagnosability), [1,K]-diagnosability (1 through K failures diagnosability), and [1,∞]-diagnosability (1 through ∞ failures diagnosability). Here the first notion is the weakest of all three, and the earlier notion of diagnosability is the same as that of K-diagnosability or that of [1,K]-diagnosability with K=1. We give polynomial algorithms for checking these various notions of repeated failure diagnosability, and also present a procedure of polynomial complexity for the online diagnosis of repeated failures.
Keywords
computational complexity; discrete event systems; fault diagnosis; diagnosability; discrete event systems; failure occurrence diagnosis; online diagnosis; polynomial complexity; repeated failure diagnosis; repeated faults; Computerized monitoring; Contracts; Discrete event systems; Failure analysis; Formal specifications; Logic; Polynomials; Postal services; Research and development; US Department of Energy;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2002, Proceedings of the 41st IEEE Conference on
ISSN
0191-2216
Print_ISBN
0-7803-7516-5
Type
conf
DOI
10.1109/CDC.2002.1184992
Filename
1184992
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