• DocumentCode
    3510186
  • Title

    Fault Diagnosis Technology for NAMP Based on BP Neural Network

  • Author

    Jian-guo Nan ; Rong Fan ; Chuang Guo

  • fYear
    2008
  • fDate
    1-3 Nov. 2008
  • Firstpage
    56
  • Lastpage
    59
  • Abstract
    In allusion to the insufficiency of the Built-in-test-equipment (BITE) of NAMP and the ground fault diagnosis equipment, the fault diagnosis theory and methods for a certain type NAMP based on BP neural network are investigated, and the fault diagnosis example is provided with the typical test item. The technology simplifies the structure of the fault diagnosis system, and has a farther effective distinguish from the source of fault diagnosed by BITE, and isolates the fault from the LRU level to the SRU level.
  • Keywords
    backpropagation; built-in self test; fault diagnosis; military aircraft; neural nets; BP neural network; NAMP; built-in-test-equipment; fault diagnosis technology; nonavionics monitoring processor; Arithmetic; Artificial neural networks; Fault diagnosis; Intelligent networks; Intelligent structures; Intelligent systems; Isolation technology; Neural networks; Software testing; System testing; BITE; NAMP; SRU;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems, 2008. ICINIS '08. First International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3391-9
  • Electronic_ISBN
    978-0-7695-3391-9
  • Type

    conf

  • DOI
    10.1109/ICINIS.2008.55
  • Filename
    4683167