B. P. Kelkhoff

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A Monte Carlo methodology for the reliability simulation of highly redundant systems is presented. Two forms of importance sampling, forced transitions and failure biasing, allow large sets of continuous-time Markov equations to be simulated effectively and the results to be plotted as continuous functions of time. A modification of the sampling technique(More)
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