Titlebook: Reliability Evaluation of Engineering Systems; Concepts and Techniq Roy Billinton,Ronald N. Allan Book 1983 Springer Science+Business Media

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Approximate system reliability evaluation,sed in conjunction with the network modelling techniques described in Chapters 4 and 5 to give rapid and sufficiently accurate results for a wide range of practical systems. In addition they are ideally suited for both hand calculations and digital computer implementation.

Interlocking

Systems with non-exponential distributions,xponential, then the process becomes nonMarkovian. The techniques proposed in Chapter 8 onwards are no longer applicable and the problem has to be treated differently. Before discussing these additional techniques, it is worth examining the assumption of exponential distributions a little more deeply.

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Introduction, ‘ .?’ This question can be answered, in part, by the use of quantitative reliability evaluation. In consequence a considerable awareness has developed in the application of such techniques in the design and operation of simple and complex systems.

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System reliability evaluation using probability distributions,onable and acceptable precision. It may therefore not be necessary to decompose the system into individual real components but into a set of devices or subsystems, the reliabilities of which are known from experience.

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Discrete Markov chains,that overcomes this problem and which has received considerable attention and use during the past few years is known as the Markov approach or Markov modelling. Several excellent texts [4, 25–27] are available on the subject of the application of Markov chains to reliability analysis.