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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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Network modelling and evaluation of simple systems,of problems these techniques may be all that is required to assess the adequacy of the system. However, in practice, a system is frequently represented as a network in which the system components are connected together either in series, parallel, meshed or a combination of these. This chapter consid
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Network modelling and evaluation of complex systems, systems either do not have this simple type of structure or have complex operational logic. Additional modelling and evaluation techniques are necessary in order to determine the reliability of such systems. A typical system not having a series/parallel structure is the bridge-type network shown in
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Probability distributions in reliability evaluation,hese concepts were extended in Chapter 3 to a specific distribution, the .. The fundamental nature and application of the binomial distribution in reliability evaluation was also presented in Chapter 3.
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System reliability evaluation using probability distributions,y of each of these components and finally combine the component reliabilities using one or more numerical techniques to estimate the reliability of the complete system. The level to which the decomposition is taken must be such that the reliabilities of the resulting components are known within reas
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Discrete Markov chains,to both non-repairable and repairable systems, in the latter case they assume that the repair process is instantaneous or negligible compared with the operating time. This is an inherent restriction and additional techniques are required if this assumption is not valid. One very important technique
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Frequency and duration techniques,bility of being in the system up state, system down state and system derated state(s) can then be evaluated from these individual state probabilities knowing which of the individual system states contribute to the respective overall system states. These techniques can be used for either mission orie
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Approximate system reliability evaluation, for reliability applications. They become less amenable, however, for hand calculations and even for digital computer solutions as the system becomes larger and more complex. In such cases, alternative methods are available which are based on the Markov approach and which use a set of appropriate b
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