Computational Methods For Reliability And Risk Analysis 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Enrico Zio 作者

譯者

2009-1 出版日期

364 頁數

593.00元價格

叢書系列

9789812839015 圖書編碼

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發表於2024-11-24

Computational Methods For Reliability And Risk Analysis 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Computational Methods For Reliability And Risk Analysis 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Computational Methods For Reliability And Risk Analysis 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Computational Methods For Reliability And Risk Analysis 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Computational Methods For Reliability And Risk Analysis 在線電子書圖書描述

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.

Contents: Markov Reliability and Availability Analysis; Monte Carlo Simulations for Reliability and Availability Analysis; Markov Chain Monte Carlo for Applications to Reliability and Availability Analysis; Basics of Genetic Algorithms with Application to System Reliability and Availability Optimization; Dependent Failures; Importance Measures; Basic Concepts of Uncertainty and Sensitivity Analysis.

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