GENERALIZED HALF-SPLIT SEARCH FOR MODEL-BASED DIAGNOSIS

NCUIR > Engineering College > Graduate Institute of Mechanical Engineering > journal & Dissertation > Item 987654321/27101

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/27101

Title:	GENERALIZED HALF-SPLIT SEARCH FOR MODEL-BASED DIAGNOSIS
Authors:	CHEN,JS;SRIHARI,SN
Contributors:	機械工程學系
Keywords:	N/A
Date:	1994
Issue Date:	2010-06-29 18:07:46 (UTC+8)
Publisher:	中央大學
Abstract:	A major step in model-based fault diagnosis is the generation of candidate components which might be responsible for the observed symptom of malfunction. After the candidates are determined, each component can then be examined in turn. It is useful to be able to choose the most likely candidate to focus on first so that the faulty parts can be located sooner. This paper presents some topological heuristics for ordering candidates according to their relationships with violations and corroborations. Candidates are also reordered or eliminated when new information is acquired during diagnosis. These ordering and reordering techniques are shown to be effective for model-based diagnosis. For single fault cases, the average length of diagnosis is log n, where eta is the number of components. In general, the average length of diagnosis is k log n when there are k faults in the device initially.
Relation:	IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS
Appears in Collections:	[Graduate Institute of Mechanical Engineering] journal & Dissertation

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