• DocumentCode
    1150721
  • Title

    An 0(n2.5) Fault Identification Algorithm for Diagnosable Systems

  • Author

    Dahbura, Anton T. ; Masson, Gerald M.

  • Author_Institution
    Department of Electrical Engineering and Computer Science, G. W. C. Whiting School of Engineering, The Johns Hopkins University
  • Issue
    6
  • fYear
    1984
  • fDate
    6/1/1984 12:00:00 AM
  • Firstpage
    486
  • Lastpage
    492
  • Abstract
    Consider a system composed of n independent processors, each of which tests a subset of the others. It is assumed that at most tp of these processors are permanently faulty and that the outcome of a test is reliable if and only if the processor which performed the test is fault free. Such a system is said to be tp-diagnosable if, given any complete collection of test results, the set of faulty processors can be uniquely identified. In this paper, it is shown that tp-diagnosable systems, due to their robust interconnection structure, possess heretofore unknown graph theoretic properties relative to vertex cover sets and maximum matchings. An 0(n2.5) algorithm is given which exploits these properties to identify the set of faulty processors in a tp-diagnosable system. The algorithm is shown to be correct, complete, not based on any conjecture, and superior to any other known fault identification algorithm for the general class of tp-diagnosable systems.
  • Keywords
    Connection assignment; PMC models; diagnosis; fault tolerance; matchings; permanent fault; self-diagnosable systems; syndrome; vertex cover sets; Computer architecture; Fault detection; Fault diagnosis; Fault tolerant systems; Performance evaluation; Physics computing; Power system modeling; Reliability; Robustness; System testing; Connection assignment; PMC models; diagnosis; fault tolerance; matchings; permanent fault; self-diagnosable systems; syndrome; vertex cover sets;
  • fLanguage
    English
  • Journal_Title
    Computers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9340
  • Type

    jour

  • DOI
    10.1109/TC.1984.1676472
  • Filename
    1676472