Computational Methods For Reliability And Risk Analysis

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Computational Methods For Reliability And Risk Analysis

Computational Methods For Reliability And Risk Analysis
Author :
Publisher : World Scientific Publishing Company
Total Pages : 363
Release :
ISBN-10 : 9789813107427
ISBN-13 : 9813107421
Rating : 4/5 (421 Downloads)

Book Synopsis Computational Methods For Reliability And Risk Analysis by : Enrico Zio

Download or read book Computational Methods For Reliability And Risk Analysis written by Enrico Zio and published by World Scientific Publishing Company. This book was released on 2009-01-22 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book illustrates a number of modelling and computational techniques for addressing relevant issues in reliability and risk analysis. In particular, it provides: i) a basic illustration of some methods used in reliability and risk analysis for modelling the stochastic failure and repair behaviour of systems, e.g. the Markov and Monte Carlo simulation methods; ii) an introduction to Genetic Algorithms, tailored to their application for RAMS (Reliability, Availability, Maintainability and Safety) optimization; iii) an introduction to key issues of system reliability and risk analysis, like dependent failures and importance measures; and iv) a presentation of the issue of uncertainty and of the techniques of sensitivity and uncertainty analysis used in support of reliability and risk analysis.The book provides a technical basis for senior undergraduate or graduate courses and a reference for researchers and practitioners in the field of reliability and risk analysis. Several practical examples are included to demonstrate the application of the concepts and techniques in practice.


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Computational Methods for Reliability and Risk Analysis
Language: en
Pages: 363
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Type: BOOK - Published: 2009 - Publisher: World Scientific

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This book illustrates a number of modelling and computational techniques for addressing relevant issues in reliability and risk analysis. In particular, it prov
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eliability and safety are fundamental attributes of any modern technological system. To achieve this, diverse types of protection barriers are placed as safegua
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Monte Carlo simulation is one of the best tools for performing realistic analysis of complex systems as it allows most of the limiting assumptions on system beh