DocumentCode
1173777
Title
Diagnosis of repeated/intermittent failures in discrete event systems
Author
Jiang, Shengbing ; Kumar, Ratnesh ; Garcia, Humberto E.
Volume
19
Issue
2
fYear
2003
fDate
4/1/2003 12:00:00 AM
Firstpage
310
Lastpage
323
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 aid 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 (resp., last) notion is the weakest (resp., strongest) 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
discrete event systems; failure analysis; fault diagnosis; graph theory; polynomials; diagnosability; discrete event systems; failure occurrence; fault diagnosis; online diagnosis; polynomial algorithm; repeated failure diagnosis; transition graph; Communication networks; Delay; Discrete event systems; Electric breakdown; Failure analysis; Formal specifications; Manufacturing systems; Polynomials; System testing; Transportation;
fLanguage
English
Journal_Title
Robotics and Automation, IEEE Transactions on
Publisher
ieee
ISSN
1042-296X
Type
jour
DOI
10.1109/TRA.2003.809590
Filename
1192160
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