Probabilistic Event-Driven Fault Diagnosis through Incremental Hypothesis Updating [chapter]

M. Steinder, A. S. Sethi
2003 Integrated Network Management VIII  
A probabilistic event-driven fault localization technique is presented, which uses a symptom-fault map as a fault propagation model. The technique isolates the most probable set of faults through incremental updating of the symptom explanation hypothesis. At any time, it provides a set of alternative hypotheses, each of which is a complete explanation of the set of symptoms observed thus far. The hypotheses are ranked according to a measure of their goodness. The technique allows multiple
more » ... lows multiple simultaneous independent faults to be identified and incorporates both negative and positive symptoms in the analysis. As shown in a simulation study, the technique is resilient both to noise in the symptom data and to the inaccuracies of the probabilistic fault propagation model. 1
doi:10.1007/978-0-387-35674-7_61 fatcat:vagxpdvulncg3ilf2j6x3ggqgu