• DocumentCode
    2638712
  • Title

    Fault Diagnose Technology of Power Electronic Based on Neural Network

  • Author

    Hu, Qing ; Wang, Rongjie ; Zhan, Yiju

  • Author_Institution
    Coll. of Inf. Eng., Guangdong Univ. of Technol., Guangzhou
  • fYear
    2008
  • fDate
    18-20 June 2008
  • Firstpage
    430
  • Lastpage
    430
  • Abstract
    A new method of fault diagnose distinguishing based on neural network is raised. Fault diagnose method of power electronic has been studied based on the wavy curve and neural network. Take the threephase bridge-type controllable thyristor circuit disconnection fault as the example, The results of power electronic circuit experiment show that this method is simple, is direct-viewing, may enhance the neural network model the study efficiency and the diagnosis accuracy. The way has very good fault distinguishing ability and vast prospect.
  • Keywords
    electronic engineering computing; fault diagnosis; neural nets; power electronics; bridge-type controllable thyristor circuit disconnection fault; fault diagnose technology; neural network; power electronic; Circuit faults; Educational institutions; Fault diagnosis; Feedforward neural networks; Feeds; Linearity; Neural networks; Power electronics; Thyristors; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
  • Conference_Location
    Dalian, Liaoning
  • Print_ISBN
    978-0-7695-3161-8
  • Electronic_ISBN
    978-0-7695-3161-8
  • Type

    conf

  • DOI
    10.1109/ICICIC.2008.274
  • Filename
    4603619