• 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