• DocumentCode
    2741098
  • Title

    Fault Prediction System Based on Neural Network Model

  • Author

    Li Bin ; Zhang Wei-guo ; Ning Dong-fang ; Yin Wei

  • Author_Institution
    Northwestern Polytech. Univ., Xi´an
  • fYear
    2007
  • fDate
    5-7 Sept. 2007
  • Firstpage
    496
  • Lastpage
    496
  • Abstract
    In the fault diagnosis of the plane steering surface, exact fault prediction is very important for the security of the aircraft. According to design requirement of the plane steering surface fault prediction system, the application of neural network technique is plane fault prediction is presented, and the algorithm based on the neural network model in the prediction system is given. Considering the advantage of neural network technique, the neural network and the fault prediction technique with expert are combined to form a fault prediction system. Finally, taking the steering surface of plane as an example to realize fault prediction, the result proves that the forecast model and algorithm based on the neural network are feasible.
  • Keywords
    aircraft; fault diagnosis; neural nets; security; steering systems; aircraft security; fault diagnosis; fault prediction system; neural network; plane steering surface; Aircraft; Algorithm design and analysis; Arithmetic; Automation; Educational institutions; Fault diagnosis; Intelligent robots; Neural networks; Predictive models; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
  • Conference_Location
    Kumamoto
  • Print_ISBN
    0-7695-2882-1
  • Type

    conf

  • DOI
    10.1109/ICICIC.2007.308
  • Filename
    4428138