• DocumentCode
    2503956
  • Title

    Intellingent fault diagnosis based on FNN

  • Author

    Chang, Jibin

  • Author_Institution
    Chongqing Univ. of Sci. & Technol., Chongqing
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    2454
  • Lastpage
    2459
  • Abstract
    In order to diagnose prevent and remove the failure of the running equipment, we must use effectual diagnose measure. In this study, By the analysis on the fuzzy theory and the ultimatum of the ANN, establish the fault diagnosis model based on the ANN and FNN. Using the same training sample and examine sample in the emulation based of the ANN and FNN, the result prove that FNN have faster convergent rate and more exact diagnose power than ANN.
  • Keywords
    fault diagnosis; fuzzy neural nets; ANN; fuzzy theory; intelligent fault diagnosis; Automation; Emulation; Fault diagnosis; Fuzzy control; Fuzzy neural networks; Intelligent control; MATLAB; Mathematical model; ANN; FNN; fault diagnosis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4594475
  • Filename
    4594475