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Markov Processes for Reliability Analyses of Large Systems

This paper presents a methodology for calculating the time-dependent reliability of a large system consisting of s-dependent components. A Markov-chain model is used and the numerical difficulties associated with large transition-probability matrices are reduced by a systematic ordering of the system states. A technique is also presented for the systematic merging of processes corresponding to systems exhibiting symmetries.