• DocumentCode
    2094652
  • Title

    Fault diagnosis system of aircraft cable

  • Author

    Liu Xiaolin ; Shi Shouwen ; Jing Tao ; Shi Xudong

  • Author_Institution
    Coll. of Aeronaut. Autom., Civil Aviation Univ. of China, Tianjin, China
  • fYear
    2010
  • fDate
    29-31 July 2010
  • Firstpage
    3916
  • Lastpage
    3919
  • Abstract
    In order to determine the fault type and fault location of the aircraft cable, a distributed hierarchical aircraft cable fault diagnosis system is designed. Based on the measuring method of time domain reflection, a back propagation neural network is selected as the control algorithm. The experimental results show that the system is rational and effective.
  • Keywords
    aerospace computing; aircraft maintenance; backpropagation; cables (electric); fault diagnosis; hierarchical systems; neural nets; aircraft cable; back propagation neural network; control algorithm; distributed hierarchical aircraft cable; fault diagnosis system; fault location; fault type; rational system; time domain reflection; Aircraft; Artificial neural networks; Circuit faults; Fault location; Power cables; Reflection; Aircraft Cable; Fault Diagnosis; Neural Network; Time Domain Reflection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2010 29th Chinese
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6263-6
  • Type

    conf

  • Filename
    5572941