DocumentCode
411589
Title
Fuzzy reasoning based fault diagnosis expert system
Author
Yu, Su ; Hai, Zhao ; Wei-ji, Su ; Gang, Wang ; Xiao-dan, Zhang
Author_Institution
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Volume
1
fYear
2004
fDate
21-23 March 2004
Firstpage
613
Abstract
To the uncertainty problems exist in equipment fault diagnosis, putting forward the method of fault diagnosis that combine fuzzy logic with expert system. Fuzzy producing rule is adopted in fuzzy expert system to express knowledge obtained, and fuzzy matching is adopted in the uncertainty reasoning process, also the confidence degree is taken as the choosing standard in conflict resolution strategy. In the application of gas chromatograph analysis fault diagnose, via setting up fuzzy expert system, fuzzy fault diagnosis is executed to discern the real reason of the fault more reliable.
Keywords
chromatography; diagnostic expert systems; diagnostic reasoning; fault diagnosis; fuzzy logic; fuzzy reasoning; fuzzy set theory; uncertainty handling; fault diagnosis expert system; fuzzy expert system; fuzzy logic; fuzzy matching; fuzzy producing rule; fuzzy reasoning; fuzzy set theory; gas chromatograph analysis; uncertainty problems; uncertainty reasoning process; Accidents; Diagnostic expert systems; Expert systems; Fault diagnosis; Fuzzy logic; Fuzzy reasoning; Fuzzy systems; Humans; Hybrid intelligent systems; Mathematics;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking, Sensing and Control, 2004 IEEE International Conference on
ISSN
1810-7869
Print_ISBN
0-7803-8193-9
Type
conf
DOI
10.1109/ICNSC.2004.1297509
Filename
1297509
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