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- W2061569181 abstract "Abstract In this paper, we present an algorithm for diagnosis issues in DES. Detection and isolation of faults are performed according to a time Petri net derived from a stochastic Petri net with normal distributions of the firing periods. This model is then extended in order to model fault and recovery processes. Faults characterization results as a consequence. Design and identification of the models parameters are detailed." @default.
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- W2061569181 date "2009-01-01" @default.
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- W2061569181 title "Petri net models for detection, isolation and identification of faults in DES" @default.
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- W2061569181 doi "https://doi.org/10.3182/20090630-4-es-2003.00223" @default.
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