• DocumentCode
    176515
  • Title

    Fault diagnosis method of non-linear analog circuits based on Volterra series and SVM

  • Author

    Huafeng He ; Yicheng Chen ; Zheng Yang ; Huixuan Deng

  • Author_Institution
    Second Artillery Eng. Univ., Xi´an, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    3217
  • Lastpage
    3222
  • Abstract
    A new fault diagnosis method of analog circuits is proposed in this paper. The method is based on Volterra series and SVM. This paper introduces the basic theory of Volterra series and SVM and deduces the proposed identification method in detail. The identification method is applied to the fault diagnosis of a non-linear analog circuit. The simulation result shows that the proposed method can obviously improve the fault diagnosis rate compared with the traditional method.
  • Keywords
    Volterra series; analogue circuits; fault diagnosis; support vector machines; SVM; Volterra series; fault diagnosis method; identification method; nonlinear analog circuits; support vector machine; Analog circuits; Circuit faults; Fault diagnosis; Feature extraction; Frequency-domain analysis; Kernel; Support vector machines; Fault Diagnosis; SVM; Volterra Series;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6852729
  • Filename
    6852729