An Efficient Algorithm for Identifying the Most Likely Fault Set in a Probabilistically Diagnosable System

  • Authors:
  • Anton T. Dahbura

  • Affiliations:
  • AT&T Bell Laboratories, Murray Hill, NJ

  • Venue:
  • IEEE Transactions on Computers - The MIT Press scientific computation series
  • Year:
  • 1986

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Abstract

An O(n3) algorithm is given for determining the most likely set of faulty processors in a class of systems introduced by Maheshwari and Hakimi[6], known as probabilistically diagnosable systems. The technique uses the a priori probability of failure of each unit combined with the results of tests which the processors administer to one another to perform diagnosis. The algorithm uses wel