• DocumentCode
    1155241
  • Title

    A Generalized Theory for System Level Diagnosis

  • Author

    Somani, Arun K. ; Agarwal, Vinod K. ; Avis, David

  • Author_Institution
    Department of Electrical Engineering, University of Washington
  • Issue
    5
  • fYear
    1987
  • fDate
    5/1/1987 12:00:00 AM
  • Firstpage
    538
  • Lastpage
    546
  • Abstract
    System-level diagnosis appears to be a viable alternative to circuit-level testing in complex multiprocessor systems. A completely new generalization of the characterization problem in the system-level diagnosis area is developed in this paper. This generalized characterization theorem provides necessary and sufficient conditions for any fault-pattern of any size to be uniquely diagnosable, under the symmetric, and asymmetric invalidation models with or without the intermittent faults. Moreover, it is also shown that the well known t-characterization theorems under these models can be derived as special cases. In addition to the generalization provided by these results, it is hoped that these results will also have a great impact on the diagnosis of faulty units in uniform structures based on the system-level diagnosis concepts and would be particularly useful in the diagnosis of WSI-oriented multiprocessor systems.
  • Keywords
    Asymmetric invalidation model; characterization of diagnosable systems; diagnosable systems; intermittent faults; multiprocessor systems; symmetric invalidation model; system-level diagnosis; Circuit faults; Circuit testing; Computer science; Councils; Fault diagnosis; Helium; Multiprocessing systems; Scholarships; Sufficient conditions; System testing; Asymmetric invalidation model; characterization of diagnosable systems; diagnosable systems; intermittent faults; multiprocessor systems; symmetric invalidation model; system-level diagnosis;
  • fLanguage
    English
  • Journal_Title
    Computers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9340
  • Type

    jour

  • DOI
    10.1109/TC.1987.1676938
  • Filename
    1676938