• DocumentCode
    1644565
  • Title

    An approach to analog fault diagnosis using genetic algorithms

  • Author

    Grasso, F. ; Manetti, S. ; Píccirilli, M.C.

  • Author_Institution
    Dept. of Electron. & Commun., Florence Univ., Firenze, Italy
  • Volume
    1
  • fYear
    2004
  • Firstpage
    111
  • Abstract
    A procedure for the multifrequency fault diagnosis of analog circuits is presented. It permits, by means of an optimization procedure based on a genetic algorithm, to select the set of frequencies which better leads to locate parametric faults in analog circuits. By exploiting symbolic analysis techniques, a program implementing the proposed procedure has been developed. An example of the application is also included.
  • Keywords
    analogue circuits; circuit optimisation; fault simulation; genetic algorithms; analog circuits; analog fault diagnosis; genetic algorithms; multifrequency fault diagnosis; parametric faults; symbolic analysis techniques; Analog circuits; Circuit faults; Circuit stability; Circuit testing; Fault diagnosis; Frequency measurement; Genetic algorithms; Jacobian matrices; Nonlinear equations; Performance evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrotechnical Conference, 2004. MELECON 2004. Proceedings of the 12th IEEE Mediterranean
  • Print_ISBN
    0-7803-8271-4
  • Type

    conf

  • DOI
    10.1109/MELCON.2004.1346785
  • Filename
    1346785