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Chronicle modeling by Petri nets for distributed detection of process failures.

Subias, Audine; Combacau, Michel; Boufaied, Amine

In: Proceedings of the second IEEE International Conference on Systems, Man and Cybernetics (SMC'02), October 6-9, 2002, Hammamet, Tunisia, Volume 4. IEEE Computer Society Press, October 2002.

Abstract: In this paper, distributed detection of process failures is studied. Erroneous evolutions, corresponding to failure situations, are described by chronicles. Every chronicle is composed of a set of events, and of a set of time constraints between these events. A chronicle can be decomposed into sub-chronicles distributed into several monitoring sites (systems). The objective of a monitoring site is to recognize a sub-chronicle. A specific reasoning considering relative time between events occurrences is proposed to provide time consistency of the mechanisms set. Combining t-time Petri nets and p-time Petri nets, p-t-time Petri nets are used to represent these chronicles. When the Petri net reaches a particular state, a sub-chronicle is recognized. A symptom is detected when all the sub-chronicles associated to the initial chronicle have been recognized.

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