Abstract
Now it is time to apply the theory of Markov processes to systems in order to obtain their reliability. The general approach will be to model the systems 1 failure as a Poisson process, and then use the Markov matrices to determine system reliability.
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References
Barlow, R.E. and Proschan, F., “Mathematical Theory of Reliability”, Wiley, New York, 1965.
Howard, R.A., “Dynamic Probabilistic Systems — Vol, I: Markov Models — Vol. II: Semi-Markov and Decision Provcesses”, John Wiley and Sons, Inc., New York, 1971.
Lieberman, G.J., “The Status and Impact of Reliability Methodology”, Naval Research Logistics Quarterly 16, 1969.
Shooman, M.L., “Probabilistic Reliability — An Engineering Approach”, McGraw-Hill, New York, 1968.
Ross, S., “Introduction to Probability Models”, Academic Press, New York, 1972.
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© 1988 Kluwer Academic Publishers
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Frankel, E.G. (1988). The Generalized Failure Process for Non-Maintained Systems. In: Systems Reliability and Risk Analysis. Engineering Applications of Systems Reliability and Risk Analysis, vol 1. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-2776-6_7
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DOI: https://doi.org/10.1007/978-94-009-2776-6_7
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-7748-4
Online ISBN: 978-94-009-2776-6
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