• DocumentCode
    1745199
  • Title

    FDP: fault detection probability function for analog circuits

  • Author

    Khouas, Abdelhakim ; Derieux, Anne

  • Author_Institution
    LIP6 Lab., Paris Univ., France
  • Volume
    4
  • fYear
    2001
  • fDate
    6-9 May 2001
  • Firstpage
    17
  • Abstract
    In analog integrated circuits, process variations result in physical parameter variations. Simulated performance values must then be considered with their tolerance intervals. Consequently, contrarily to digital circuits where the outputs are either `0´ or `1´ such that we can decide without ambiguity whether a fault is detectable or not, for analog circuits fault detectability is still a value problem since the fault can either be completely detectable, partially detectable or completely undetectable which makes it very difficult to take a decision. In order to solve this decision problem, we have introduced the fault detection probability (FDP) function which allows to formalize the problem of analog fault detection subjected to parameter variations
  • Keywords
    analogue integrated circuits; fault simulation; integrated circuit testing; tolerance analysis; analog integrated circuit; fault detection probability function; fault simulation; tolerance analysis; Analog circuits; Circuit faults; Circuit simulation; Circuit testing; Computational modeling; Costs; Electrical fault detection; Fault detection; Gaussian distribution; Probability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7803-6685-9
  • Type

    conf

  • DOI
    10.1109/ISCAS.2001.922157
  • Filename
    922157