• DocumentCode
    3145428
  • Title

    Research on Fault Location of Aircraft Cable Based on Neural Network

  • Author

    Shi, Xudong ; Liu, Xiaolin ; Pei, Heyan

  • Author_Institution
    Coll. of Meas. & Control, Harbin Univ. of Sci. & Technol., Harbin, China
  • fYear
    2009
  • fDate
    15-16 May 2009
  • Firstpage
    218
  • Lastpage
    221
  • Abstract
    Aircraft cable is the important part in modern aircraft which serves as the transmission medium of dynamic electric source, control signal and data information for control system, the aerial electronic system and so on. The fault diagnosis and location of the aircraft cable is the major task for the maintenance staff. The functional relationship between the physical parameters--the voltage and current of two-terminal and the fault location of aircraft cable is defined and a mathematical model of aircraft cable fault location is created based on the electric theory of distribution parameter circuit in this paper. A back propagation neural network is selected as the control algorithm because neural network can control nonlinear object effectually. An aircraft cable fault location system is designed and the simulation result shows that the system is rational and effective.
  • Keywords
    aircraft control; backpropagation; cables (electric); fault diagnosis; fault location; maintenance engineering; neurocontrollers; nonlinear control systems; aerial electronic system; aircraft cable; back propagation neural network; control algorithm; control signal; control system; distribution parameter circuit; dynamic electric source; electric theory; fault diagnosis; fault location; mathematical model; nonlinear object control; simulation; transmission medium; Aerospace control; Aerospace electronics; Aircraft; Communication cables; Control systems; Fault diagnosis; Fault location; Neural networks; Power cables; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Ubiquitous Computing and Education, 2009 International Symposium on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-0-7695-3619-4
  • Type

    conf

  • DOI
    10.1109/IUCE.2009.146
  • Filename
    5223194