Dynamic modelling and simulation of fault-tolerant systems based on stochastic activity networks
Résumé
Dependability analysis is crucial to control the risks resulting from failures in modern industrial systems. This paper proposes a modeling approach that constructs dynamic models of fault-tolerant (FT) systems based on Stochastic Activity Networks (SANs). This approach allows the systematic inclusion of the diagnosis performances in the dependability analysis. This SAN-model is used jointly with the Monte Carlo simulation to assess the impact of the diagnosis performance on the availability of a FT system when various redundancy and maintenance policies are employed.
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