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Titlebook: Reliability Evaluation of Engineering Systems; Concepts and Techniq Roy Billinton,Ronald N. Allan Book 1992Latest edition Springer Science+

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Systems with non-exponential distributions, exponential. This is particularly the case in Chapter 8 onwards. It has been stressed in these preceding chapters that, although the assumption of exponential distributions may have been made, the results and equations are equally applicable to all distributions if only the limiting state or long t
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Epilogue,the area of statistics, probability theory and reliability evaluation techniques. It attempts to illustrate the theoretical concepts and practical formulae required to evaluate quantitatively the reliability of systems. It must be stressed that there is no single all-purpose technique that can be us
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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.
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Network modelling and evaluation of simple systems,d as a network in which the system components are connected together either in series, parallel, meshed or a combination of these. This chapter considers series and parallel network representations (more complicated meshed networks are considered in the next chapter).
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Frequency and duration techniques,knowing which of the individual system states contribute to the respective overall system states. These techniques can be used for either mission orientated or repairable systems, and can be extended to evaluate the MTTF of the system.
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