USE OF FUZZY CAUSE-EFFECT DIGRAPH FOR RESOLUTION FAULT-DIAGNOSIS FOR PROCESS PLANTS .1. FUZZY CAUSE-EFFECT DIGRAPH

NCUIR > Engineering College > National Central University Department of Chemical & Materials Engineering > journal & Dissertation > Item 987654321/26657

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/26657

Title:	USE OF FUZZY CAUSE-EFFECT DIGRAPH FOR RESOLUTION FAULT-DIAGNOSIS FOR PROCESS PLANTS .1. FUZZY CAUSE-EFFECT DIGRAPH
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;EXPERT SYSTEMS;ALGORITHM;LOCATION
Date:	1995
Issue Date:	2010-06-29 17:33:30 (UTC+8)
Publisher:	中央大學
Abstract:	A new model graph called fuzzy cause-effect digraph (FCDG) is proposed. This model expresses quantitative deviations of variables from the normal values with fuzzy set. It uses dynamic constraints (confluences) which are converted to dynamic fuzzy relations to express the dynamic gain between the variables in a chemical process. This replaces the steady-state gain between the variables originally expressed with a ''+'', ''-'', or ''0'' by signed directed graph (SDG). Using this FCDG model would eliminate spurious interpretations attributed to system compensations and inverse responses from backward loops and forward paths in the process. The basic idea and development of this proposed method are described in this paper. Moreover, this method can apply fuzzy reasoning to estimate the states of the unmeasured variables, to explain fault propagation paths, and to ascertain fault origins. The algorithm of fault diagnosis and its application proposed in this paper are described in part 2.
Relation:	INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
Appears in Collections:	[National Central University Department of Chemical & Materials Engineering] journal & Dissertation

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	408	View/Open

社群 sharing

Loading...