• DocumentCode
    2224017
  • Title

    Design and Implementation of Intelligent Fault Diagnosis System

  • Author

    Yuan Huimei ; Chen Zongying

  • Author_Institution
    Coll. of Inf. Eng., Capital Normal Univ., Beijing, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    2296
  • Lastpage
    2299
  • Abstract
    Method of analog circuit fault diagnosis based on ANN (artificial neural network) and ES (expert system) is proposed according to the recent development of modern electronic testing technology and artificial intelligence. The structure and organizing of fault diagnosis system on analog circuit and its feasibility is mainly illustrated, and the platform of software based on Labview and Matlab is developed. Through the software, the system can manage its two main function module which are auto measurement module and fault diagnosis module working on an environment orderly. If a test program is loaded into the software platform, the corresponding circuit will be measured automatically. It is shown that the software platform has friendly interface, complete function and content with the need of intelligent fault diagnosis.
  • Keywords
    analogue circuits; artificial intelligence; circuit analysis computing; circuit testing; expert systems; fault diagnosis; neural nets; user interfaces; Labview; Matlab; analog circuit fault diagnosis method; artificial intelligence; artificial neural network; auto measurement module; electronic testing technology; expert system; function module; intelligent fault diagnosis system; software platform; Analog circuits; Artificial intelligence; Artificial neural networks; Circuit testing; Diagnostic expert systems; Electronic equipment testing; Fault diagnosis; Intelligent systems; Software measurement; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.465
  • Filename
    5455176