• DocumentCode
    2307156
  • Title

    Research on the Fault Diagnosis for Boiler System Based on Fuzzy Neural Network

  • Author

    Yang, Yu ; Liang, Chen ; Qing, Yang ; Yawei, Zhao

  • Author_Institution
    Fac. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China
  • Volume
    2
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    128
  • Lastpage
    132
  • Abstract
    The fuzzy logic was applied into the neural network and the application of fault diagnosis for boiler system with the integrated fuzzy neural network is investigated on the basis 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 process and testing results about the sample of boiler was given. 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
    artificial intelligence; boilers; fault diagnosis; fuzzy logic; fuzzy neural nets; power engineering computing; artificial neural network; boiler system; fault diagnosis; fuzzy logic; integrated fuzzy neural network; traditional standard BP network; Application software; Artificial neural networks; Boilers; Error analysis; Fault diagnosis; Fuzzy logic; Fuzzy neural networks; Information science; Software engineering; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, 2009. WCSE '09. WRI World Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3570-8
  • Type

    conf

  • DOI
    10.1109/WCSE.2009.380
  • Filename
    5319695