• DocumentCode
    987847
  • Title

    A Method for the Automatic Selection of Test Frequencies in Analog Fault Diagnosis

  • Author

    Grasso, Francesco ; Luchetta, Antonio ; Manetti, Stefano ; Piccirilli, Maria Cristina

  • Author_Institution
    Univ. of Florence, Firenze
  • Volume
    56
  • Issue
    6
  • fYear
    2007
  • Firstpage
    2322
  • Lastpage
    2329
  • Abstract
    A new procedure for the selection of test frequencies in the parametric fault diagnosis of analog circuits is presented. It is based on the evaluation of algebraic indices, as the condition number and the norm of the inverse, of a sensitivity matrix of the circuit under test. This matrix is obtained starting from the testability analysis of the circuit. A test index (T.I.) that permits the selection of the set of frequencies that better leads to locating parametric faults in analog circuits is defined. By exploiting symbolic analysis techniques, a program that implements the proposed procedure has been developed. It yields the requested set of frequencies by means of an optimization procedure based on a genetic algorithm that minimizes the T.I. Examples of the application of the proposed procedure are also included.
  • Keywords
    analogue circuits; circuit analysis computing; circuit testing; fault diagnosis; matrix algebra; algebraic indices; analog circuits; analog fault diagnosis; automatic test frequencies selection; sensitivity matrix; symbolic analysis techniques; test index; testability analysis; Analog circuits; Automatic testing; Circuit faults; Circuit testing; Fault diagnosis; Fault location; Frequency domain analysis; Frequency measurement; Genetic algorithms; Nonlinear equations; Analog circuits; fault diagnosis; fault location; genetic algorithms (GA); symbolic techniques; testability analysis;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2007.907947
  • Filename
    4389103