• DocumentCode
    559843
  • Title

    The Improved Research of Fault Diagnosis Algorithm in Intelligent BIT Design

  • Author

    Zhang, Peng ; Chen, Yuntao ; Ding, Youhua

  • Author_Institution
    Dept. of Radar, Wuhan Ordnance Non-commissioned Officer Acad. of PLA, Wuhan, China
  • Volume
    1
  • fYear
    2011
  • fDate
    24-25 Sept. 2011
  • Firstpage
    3
  • Lastpage
    6
  • Abstract
    This paper expatiates the realization procession and key technology of neural network in fault diagnosis platform in detail, which combined with the realization of fault diagnosis platform based on neural network. Then we have carried on amiss control coding of the output cells in the deferent communication. So we have carried out mapping class once more of type and type of coding and carried out mapping class in reverse during the period of decoding. Using the theory and realization of intelligent BIT, we have gotten the development trend of fault diagnosis system, the use of neural network in intelligent BIT and the idiographic configuration of neural network in intelligent BIT, under the environment of hardware and software platform.
  • Keywords
    built-in self test; decoding; fault diagnosis; neural nets; amiss control coding; decoding; fault diagnosis algorithm; hardware platform; idiographic configuration; intelligent BIT design; neural network; software platform; Approximation algorithms; Artificial intelligence; Classification algorithms; Cyclic redundancy check codes; Encoding; Fault diagnosis; Polynomials; algorithm; fault diagnosis; intelligent;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
  • Conference_Location
    Nanjing, Jiangsu
  • Print_ISBN
    978-1-4577-1419-1
  • Type

    conf

  • DOI
    10.1109/ICM.2011.225
  • Filename
    6113341