• DocumentCode
    1118190
  • Title

    An Approach to the Diagnosis of Intermittent Faults

  • Author

    Kamal, Samir

  • Author_Institution
    Computer Science Section, Department of Mathematics, Wayne State University
  • Issue
    5
  • fYear
    1975
  • fDate
    5/1/1975 12:00:00 AM
  • Firstpage
    461
  • Lastpage
    467
  • Abstract
    A procedure for the diagnosis of intermittent faults in combinational circuits is suggested. This procedure employs a probabilistic model for intermittent failures and presumes that a detection experiment has been run. The circuit is assumed to be irredundant and to possess a single fault out of n possible ones. The approach suggested is based on the repeated application of tests that test for these faults had their effect been permanent. A subset of the test set is selected and is repeatedly applied until a failure is observed. Similar subexperiments are then run with appropriate test subsets until the highest diagnostic resolution is obtained. The expected length of the diagnosis experiment is guaranteed to be finite. This is shown by proving that the expected length of each subexperiment is finite. The diagnosis experiment can be terminated, when any preset time limit is exceeded, compromising the obtained diagnostic resolution. Local symmetry of the fault table is found to be the necessary and sufficient condition for maximum diagnostic resolution.
  • Keywords
    Combinational circuits, diagnostic resolution, fault diagnosis, fault table, intermittent faults, posterior probability.; Circuit faults; Circuit noise; Circuit testing; Combinational circuits; Digital systems; Electrical fault detection; Fault detection; Fault diagnosis; Sufficient conditions; Timing; Combinational circuits, diagnostic resolution, fault diagnosis, fault table, intermittent faults, posterior probability.;
  • fLanguage
    English
  • Journal_Title
    Computers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9340
  • Type

    jour

  • DOI
    10.1109/T-C.1975.224247
  • Filename
    1672840