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Titlebook: Systems Reliability Assessment; Proceedings of the I A. G. Colombo,A. Saiz Bustamante Conference proceedings 1990 ECSC, EEC, EAEC, Brussels

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书目名称Systems Reliability Assessment
副标题Proceedings of the I
编辑A. G. Colombo,A. Saiz Bustamante
视频video
丛书名称Ispra Courses
图书封面Titlebook: Systems Reliability Assessment; Proceedings of the I A. G. Colombo,A. Saiz Bustamante Conference proceedings 1990 ECSC, EEC, EAEC, Brussels
描述This book presents models and methods for systems reliability assessment, human reliability analysis and uncertainty management. It includes fourteen contributions which are grouped into three sections. Section 1 deals with basic reliability methods and applications. The papers by Saiz de Bustamante and Perlado introduce the stochastic processes and the Monte Carlo method, respectively. Sanz Fermandez de Cordoba and Gonzales discuss important practical implications of the use of reliability methods. The former refers to the aerospace industry. The latter considers nuclear power plants. Session 2 presents some advances in systems reliability techniques. The paper by Contini and Poucet illustrates the mathematical analysis of fault trees and event trees. It includes a discussion on the logical analysis of non-coherent fault trees and considerations on the major measures of criticality and importance of a component. The paper by Babbio is devoted to Petri nets. First, the formalism of this relatively new technique is given. Then, stochastic Petri nets are introduced as a tool to describe the behaviour of systems in time. Finally, by some fully developed examples, it is shown how this
出版日期Conference proceedings 1990
关键词management; reliability; research; safety; uncertainty; quality control, reliability, safety and risk
版次1
doihttps://doi.org/10.1007/978-94-009-0649-5
isbn_softcover978-94-010-6777-5
isbn_ebook978-94-009-0649-5Series ISSN 1016-0485
issn_series 1016-0485
copyrightECSC, EEC, EAEC, Brussels and Luxembourg 1990
The information of publication is updating

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Uncertainty Modelling in Systems Reliability Analysisibed showing how they can incorporate parameter and model uncertainty. Finally Bayesian methods are presented illustrating how to update probabilistic statements with new information and how to incorporate parameter and model uncertainty in the reliability predictions.
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The Monte Carlo Method reduction techniques are also introduced for improving the efficiency of the Monte Carlo method. A brief comment is given about its use in uncertainty analysis. A clear example of the use of Monte Carlo in the system availability estimation is given.
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Human Reliability Modelsnt stage. On the other hand, the results of a comparative exercise on human reliability assessment demonstrates that consistent results are very difficult to achieve by adopting current probabilistic models.
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Failure Delay Systems Reliability Modellingre delay systems and give the lifetime structure for reliability measures evaluation. We describe next some classes of failure delay systems. A single component system without and with repair are studied and closed-form solutions for lifetime distribution are derived. Finally, as an example of failure delay systems we study the reservoir.
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