Diagnosis of discrete event system by stochastic timed automata

Ryad Zemouri, Jean Marc Faure · 2006

The paper describes a diagnosis method for detecting and identifying faults that occur in a discrete-event system described by a stochastic timed automaton. The proposed diagnosis algorithm is based whether the measured event time sequences are consistent with a stochastic timed discrete event model. The degree of this consistence is given by a continuous diagnosis function. The diagnosis which consists of two parts (fault detection and identification) is then obtained

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