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
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;
Conference_Titel :
Networking, Sensing and Control, 2004 IEEE International Conference on
Print_ISBN :
0-7803-8193-9
DOI :
10.1109/ICNSC.2004.1297509