Fault Detection and Diagnosis in Distributed Systems: An Approach by Partially Stochastic Petri Nets

@article{Aghasaryan1998FaultDA,
  title={Fault Detection and Diagnosis in Distributed Systems: An Approach by Partially Stochastic Petri Nets},
  author={Armen Aghasaryan and Eric Fabre and Albert Benveniste and Ren{\'e}e Boubour and Claude Jard},
  journal={Discrete Event Dynamic Systems},
  year={1998},
  volume={8},
  pages={203-231}
}
We address the problem of alarm correlation in large distributed systems. The key idea is to make use of the concurrence of events in order to separate and simplify the state estimation in a faulty system. Petri nets and their causality semantics are used to model concurrency. Special partially stochastic Petri nets are developed, that establish some kind of equivalence between concurrence and independence. The diagnosis problem is defined as the computation of the most likely history of the… CONTINUE READING
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