• DocumentCode
    3362844
  • Title

    Implement fault diagnosis high speed reasoning expert system with FPGA

  • Author

    Xue, Jingyan ; Sun, Laijun ; Liu, Mingliang ; Qiao, Changming ; Qian, Haibo

  • Author_Institution
    HLJ Province Key Lab. of Senior-Educ. for Electron. Eng., Heilongjiang Univ., Harbin, China
  • fYear
    2009
  • fDate
    9-12 Aug. 2009
  • Firstpage
    752
  • Lastpage
    756
  • Abstract
    This paper introduces a new method to design expert system reasoning with FPGA for fault diagnosis. Firstly, detailed analysis the reasoning process of normal expert system; Secondly, the experiences and knowledge of experts are transformed to multi-valued or binary reasoning with fault tree, and the processes are realized with simple gate circuits; Lastly, the new scheme is used in fault diagnosis for HV circuit breakers instead of primary reasoning with software. The experiment indicates that the reasoning speed using this scheme is faster than traditional reasoning modes, and it can be applicable to many expert systems based on single-chip controller or DSP (Digital Signal Processor).
  • Keywords
    circuit breakers; digital signal processing chips; expert systems; fault diagnosis; fault trees; field programmable gate arrays; inference mechanisms; power engineering computing; DSP; FPGA; HV circuit breakers; binary reasoning; digital signal processor; fault diagnosis high speed reasoning expert system; fault tree; gate circuits; multivalued reasoning; single-chip controller; Circuit breakers; Control systems; Design methodology; Diagnostic expert systems; Digital control; Digital signal processing; Digital signal processors; Fault diagnosis; Fault trees; Field programmable gate arrays; FPGA; HV circuit breaker; expert system; fault diagnosis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2009. ICMA 2009. International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-2692-8
  • Electronic_ISBN
    978-1-4244-2693-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2009.5246194
  • Filename
    5246194