• DocumentCode
    582448
  • Title

    The developing tendency of the fault diagnoses based on artificial intelligence

  • Author

    Tang Hongcheng

  • Author_Institution
    Coll. of Autom. & Electron. Eng., Qingdao Univ. of Sci. & Technol., Qingdao, China
  • fYear
    2012
  • fDate
    25-27 July 2012
  • Firstpage
    5225
  • Lastpage
    5228
  • Abstract
    The classification of the latest progress of fault diagnoses based on artificial intelligence is given in this paper. The advantages and disadvantages of various fault diagnosis methods are discussed. The new developing trends of fault diagnoses, which are combined with various different artificial intelligences, are pointed out.
  • Keywords
    artificial intelligence; failure analysis; fault diagnosis; mechanical engineering computing; artificial intelligence; fault diagnosis method; Automation; Educational institutions; Expert systems; Fault diagnosis; Neural networks; Predictive models; Fault diagnoses; artificial intelligence; developing tendency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2012 31st Chinese
  • Conference_Location
    Hefei
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4673-2581-3
  • Type

    conf

  • Filename
    6390849