• DocumentCode
    2500484
  • Title

    The research on the fault diagnosis for boiler system based on fuzzy neural network

  • Author

    Zhao, Yawei ; Chen, Liang ; Yang, Qing

  • Author_Institution
    Shenyang Ligong Univ., Shenyang
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    8552
  • Lastpage
    8556
  • Abstract
    The fuzzy logic was pulled in the neural network and the application of fault diagnosis for boiler system with the integrated fuzzy neural network is researched on the basic of the introductions of the basic principle of artificial neural network (ANN) and the principle of fault diagnosis for boiler system based on neural network. A example of training progress and testing results about the sample of boiler was given. And at last, it is proved that this integrated method can acquire a better result on fault diagnosis for boiler through error analysis compared with the traditional standard BP network.
  • Keywords
    backpropagation; boilers; fault diagnosis; fuzzy neural nets; mechanical engineering computing; artificial neural network; boiler system; error analysis; fault diagnosis; fuzzy logic; fuzzy neural network; Artificial neural networks; Automation; Boilers; Electronic mail; Fault diagnosis; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Intelligent control; Testing; BP algorithm; boiler system; fault diagnosis; fuzzy neural network;
  • 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.2008.4594273
  • Filename
    4594273