• DocumentCode
    2936956
  • Title

    Application of Integrated Neural Network Based on MATLAB to Fault Diagnosis in Feed Water Pump

  • Author

    Du Zhongqing ; Li Jun ; Li Qing ; Hu Niansu

  • Author_Institution
    Dean´s Office, Jiangxi Vocational &Tech. Coll. of Electr., Nanchang, China
  • fYear
    2011
  • fDate
    25-28 March 2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Vibration faults frequently occurring to the feed water pump in large-scale power plants are diagnosed by the integrated neural network based on MATLAB. The integrated neural network for fault diagnosis is established from individual neural network and on the basis of information fusion. The strategies and principles for the realization and formation of integrated neural network are analyzed and a case of fault diagnosis of the feed water pump is given to prove the efficiency and accuracy of the integrated neural network for fault diagnosis.
  • Keywords
    fault diagnosis; neural nets; power engineering computing; pumping plants; vibrations; MATLAB; fault diagnosis; feed water pump; integrated neural network; large-scale power plants; vibration faults; Artificial neural networks; Biological neural networks; Fault diagnosis; Feeds; Rotors; Training; Vibrations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
  • Conference_Location
    Wuhan
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4244-6253-7
  • Type

    conf

  • DOI
    10.1109/APPEEC.2011.5748893
  • Filename
    5748893