Fault diagnosis consists in synthesizing a diagnoser that observes a given plant through a set of observable events, and identifies faults which are not observable as soon as pos...
Abstract— In recent years, classical discrete event fault diagnosis techniques have been extended to Petri Net system models under partial order semantics [8], [9], [13]. In [14]...
This paper deals with the incremental off-line computation of diagnosis of discrete-event systems. Traditionally, the diagnosis is computed from the global automaton describing th...
Alban Grastien, Marie-Odile Cordier, Christine Lar...
The usual methods of applying Bayesian networks to the modeling of temporal processes, such as Dean and Kanazawa's dynamic Bayesian networks (DBNs), consist in discretizing t...
—This paper aims to present a method of creating architectures which allow monitoring occurrence of failure in Service oriented Architectures (SoA). The presented approach extend...