USE OF FUZZY CAUSE-EFFECT DIGRAPH FOR RESOLUTION FAULT-DIAGNOSIS FOR PROCESS PLANTS .2. DIAGNOSTIC ALGORITHM AND APPLICATIONS

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Title:	USE OF FUZZY CAUSE-EFFECT DIGRAPH FOR RESOLUTION FAULT-DIAGNOSIS FOR PROCESS PLANTS .2. DIAGNOSTIC ALGORITHM AND APPLICATIONS
Authors:	SHIH,RF;LEE,LS
Contributors:	化學工程與材料工程學系
Keywords:	SIGNED DIRECTED GRAPH;CHEMICAL PROCESS;SYSTEM FAILURES
Date:	1995
Issue Date:	2010-06-29 17:33:31 (UTC+8)
Publisher:	中央大學
Abstract:	A new model graph called the fuzzy cause-effect digraph (FCDG) model was already proposed in part 1, and its capability to eliminate spurious interpretations attributed to system compensation and inverse responses from backward loops and forward paths is to be demonstrated. In this paper we attempt to develop a new fault diagnosis algorithm based on the fuzzy cause-effect digraph model. This method applies fuzzy reasoning to estimate the states of unmeasured variables, to explain fault propagation paths, and to locate fault origins. In particular, it can obtain the fault origin occurring in the process with single and multiple loops at the early stage of fault. This study uses a CSTR as an example to explicate this diagnosis method and compares the results with those of other methods.
Relation:	INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
Appears in Collections:	[化學工程與材料工程研究所] 期刊論文

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