• DocumentCode
    3302015
  • Title

    A robust fault detection scheme for concurrent testing of linear digital systems

  • Author

    Simeu, Emmanuel ; Abdelhay, Ahmad

  • Author_Institution
    TIMA Lab., Grenoble, France
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    209
  • Lastpage
    214
  • Abstract
    Generally, the concurrent fault detection methods are based, either explicitly or implicitly, on the use of redundancy. This paper presents a novel methodology for concurrent fault detection in linear digital systems. The basic principle of approach is the use of implicit analytical redundancy relations, i.e. relations between the measurement available variables. The robustness requirement of the redundancy relations guarantees a maximal sensitivity of the concurrent detector against fault and minimal sensitivity towards noise. Techniques for designing fault detection circuitry using optimal redundancy relations are discussed. Error detection capabilities of the scheme proposed in this work are efficient for a very large class of linear digital signal processor. The test circuit obtained for concurrent fault detector implementation is still very reasonable
  • Keywords
    digital signal processing chips; error detection; fault diagnosis; integrated circuit testing; redundancy; concurrent testing; error detection capabilities; implicit analytical redundancy relations; linear digital signal processor; linear digital systems; measurement available variables; optimal redundancy relations; robust fault detection scheme; robustness requirement; Circuit faults; Circuit noise; Circuit testing; Detectors; Digital signal processors; Digital systems; Electrical fault detection; Fault detection; Noise robustness; Redundancy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    On-Line Testing Workshop, 2001. Proceedings. Seventh International
  • Conference_Location
    Taormina
  • Print_ISBN
    0-7695-1290-9
  • Type

    conf

  • DOI
    10.1109/OLT.2001.937844
  • Filename
    937844