• DocumentCode
    2278981
  • Title

    The concept of resistance interval: a new parametric model for realistic resistive bridging fault

  • Author

    Renovell, M. ; Huc, P. ; Bertrand, Y.

  • Author_Institution
    Lab. d´´Informatique, Robotique et Microelectronique, Univ. des Sci. et Tech. du Languedoc, Montpellier, France
  • fYear
    1995
  • fDate
    30 Apr-3 May 1995
  • Firstpage
    184
  • Lastpage
    189
  • Abstract
    From circuit measurement, it has been demonstrated that actual bridging faults have an intrinsic resistance mainly in the range from 0 Ω to 500 Ω. This paper first analyses the consequences of this resistance on the electrical and logic behavior of bridging faults. Second, it is demonstrated that the classical models such as the voting model which consider the resistance as negligible, do not accurately and realistically represent the behavior of the fault. Third, a new parametric bridging fault model is proposed allowing to realistically represent the faulty behavior according to the intrinsic resistance which is not known a priori. Finally, a parametric bridging fault simulation algorithm is described together with some redefinition of the classical concepts of fault detection and fault coverage
  • Keywords
    VLSI; automatic testing; electric resistance; fault diagnosis; integrated circuit testing; logic gates; logic testing; 0 to 500 ohm; VLSI; bridging faults; fault coverage; fault detection; faulty behavior; intrinsic resistance; logic behavior; logic gates; parametric model; resistance interval; resistive bridging fault; Circuit faults; Electric resistance; Electrical resistance measurement; Fault detection; Logic devices; Logic gates; Parametric statistics; Robots; Threshold voltage; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI Test Symposium, 1995. Proceedings., 13th IEEE
  • Conference_Location
    Princeton, NJ
  • ISSN
    1093-0167
  • Print_ISBN
    0-8186-7000-2
  • Type

    conf

  • DOI
    10.1109/VTEST.1995.512635
  • Filename
    512635