Zio, Enrico.
Computational methods for reliability and risk analysis [electronic resource] / Enrico Zio. - Singapore : World Scientific Publishing Co. Pte Ltd., ©2009. - 1 online resource (364 p.) : ill. - Series on quality, reliability and engineering statistics ; v. 14 .
Includes bibliographical references (p. 335-338).
"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."--
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
9789812839022
Reliability (Engineering)--Statistical methods.
Risk assessment--Statistical methods.
Electronic books.
TA169 / .Z598 2009
620.00452
Computational methods for reliability and risk analysis [electronic resource] / Enrico Zio. - Singapore : World Scientific Publishing Co. Pte Ltd., ©2009. - 1 online resource (364 p.) : ill. - Series on quality, reliability and engineering statistics ; v. 14 .
Includes bibliographical references (p. 335-338).
"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."--
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
9789812839022
Reliability (Engineering)--Statistical methods.
Risk assessment--Statistical methods.
Electronic books.
TA169 / .Z598 2009
620.00452