Basics Of The Monte Carlo Method With Application To System Reliability
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Basics Of The Monte Carlo Method With Application To System Reliability
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Author : Marzio Marseguerra
language : en
Publisher:
Release Date : 2002
Basics Of The Monte Carlo Method With Application To System Reliability written by Marzio Marseguerra and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with categories.
The Monte Carlo Simulation Method For System Reliability And Risk Analysis
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Author : Enrico Zio
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-11-02
The Monte Carlo Simulation Method For System Reliability And Risk Analysis written by Enrico Zio and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-02 with Technology & Engineering categories.
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 behavior to be relaxed. The Monte Carlo Simulation Method for System Reliability and Risk Analysis comprehensively illustrates the Monte Carlo simulation method and its application to reliability and system engineering. Readers are given a sound understanding of the fundamentals of Monte Carlo sampling and simulation and its application for realistic system modeling. Whilst many of the topics rely on a high-level understanding of calculus, probability and statistics, simple academic examples will be provided in support to the explanation of the theoretical foundations to facilitate comprehension of the subject matter. Case studies will be introduced to provide the practical value of the most advanced techniques. This detailed approach makes The Monte Carlo Simulation Method for System Reliability and Risk Analysis a key reference for senior undergraduate and graduate students as well as researchers and practitioners. It provides a powerful tool for all those involved in system analysis for reliability, maintenance and risk evaluations.
Reliability Assessment Of Electric Power Systems Using Monte Carlo Methods
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Author : Billinton
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29
Reliability Assessment Of Electric Power Systems Using Monte Carlo Methods written by Billinton and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Technology & Engineering categories.
The application of quantitative reliability evaluation in electric power sys tems has now evolved to the point at which most utilities use these techniques in one or more areas of their planning, design, and operation. Most of the techniques in use are based on analytical models and resulting analytical evaluation procedures. Improvements in and availability of high-speed digi tal computers have created the opportunity to analyze many of these prob lems using stochastic simulation methods and over the last decade there has been increased interest in and use made of Monte Carlo simulation in quantitative power system reliability assessment. Monte Carlo simulation is not a new concept and recorded applications have existed for at least 50 yr. However, localized high-speed computers with large-capacity storage have made Monte Carlo simulation an available and sometimes preferable option for many power system reliability applications. Monte Carlo simulation is also an integral part of a modern undergrad uate or graduate course on reliability evaluation of general engineering systems or specialized areas such as electric power systems. It is hoped that this textbook will help formalize the many existing applications of Monte Carlo simulation and assist in their integration in teaching programs. This book presents the basic concepts associated with Monte Carlo simulation.
The Monte Carlo Simulation Method For System Reliability And Risk Analysis
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Author : Springer
language : en
Publisher:
Release Date : 2012-11-01
The Monte Carlo Simulation Method For System Reliability And Risk Analysis written by Springer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-01 with categories.
Computational Methods For Reliability And Risk Analysis
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Author : Enrico Zio
language : en
Publisher: World Scientific
Release Date : 2009
Computational Methods For Reliability And Risk Analysis written by Enrico Zio and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Technology & Engineering categories.
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.
Computational Methods For Reliability And Risk Analysis
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Author : Enrico Zio
language : en
Publisher: World Scientific Publishing Company
Release Date : 2009-01-22
Computational Methods For Reliability And Risk Analysis written by Enrico Zio and has been published by World Scientific Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-01-22 with Technology & Engineering categories.
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. This book is also available as a set with An Introduction to the Basics of Reliability and Risk Analysis and Basics of Reliability and Risk Analysis. Foreword Foreword (64k) Sample Chapter(s) Chapter 1: Markov Reliability and Availability Analysis (1,181k) Request Inspection Copy
System Reliability Assessment And Optimization
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Author : Yan-Fu Li
language : en
Publisher: John Wiley & Sons
Release Date : 2022-06-01
System Reliability Assessment And Optimization written by Yan-Fu Li and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Technology & Engineering categories.
This book offers a comprehensive overview of recently developed methods for assessing and optimizing system reliability. It consists of two main parts, for treating assessment methods and optimization methods, respectively. The first part covers methods of multi-state system reliability modelling and evaluation, Markov processes, Monte Carlo simulation and uncertainty analysis. The methods considered range from piecewise-deterministic Markov processes to belief function analysis. The second part covers optimization methods of mathematical programming and evolutionary algorithms, and problems of multi-objective optimization and optimization under uncertainty. The methods of this part range from non-dominated sorting genetic algorithm to robust optimization. The book also includes the application of the assessment and optimization methods considered on real case studies, particularly with respect to the reliability assessment and optimization of renewable energy systems, and bridges the gap between theoretical method development and engineering practice.
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Author :
language : en
Publisher: IOS Press
Release Date :
written by and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Reliability Analysis Of Dynamic Systems
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Author : Bin Wu
language : en
Publisher: Academic Press
Release Date : 2013-06-19
Reliability Analysis Of Dynamic Systems written by Bin Wu and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-19 with Technology & Engineering categories.
Featuring aerospace examples and applications, Reliability Analysis of Dynamic Systems presents the very latest probabilistic techniques for accurate and efficient dynamic system reliability analysis. While other books cover more broadly the reliability techniques and challenges related to large systems, Dr Bin Wu presents a focused discussion of new methods particularly relevant to the reliability analysis of large aerospace systems under harmonic loads in the low frequency range. Developed and written to help you respond to challenges such as non-linearity of the failure surface, intensive computational costs and complexity in your dynamic system, Reliability Analysis of Dynamic Systems is a specific, detailed and application-focused reference for engineers, researchers and graduate students looking for the latest modeling solutions. The Shanghai Jiao Tong University Press Aerospace Series publishes titles that cover the latest advances in research and development in aerospace. Its scope includes theoretical studies, design methods, and real-world implementations and applications. The readership for the series is broad, reflecting the wide range of aerospace interest and application, but focuses on engineering. Forthcoming titles in the Shanghai Jiao Tong University Press Aerospace Series: Reliability Analysis of Dynamic Systems • Wake Vortex Control • Aeroacoustics: Fundamentals and Applications in Aeropropulsion Systems • Computational Intelligence in Aerospace Design • Unsteady Flow and Aeroelasticity in Turbomachinery Authored by a leading figure in Chinese aerospace with 20 years’ professional experience in reliability analysis and engineering simulation. Offers solutions to the challenges of non-linearity, intensive computational cost and complexity in reliability assessment. Aerospace applications and examples used throughout to illustrate accuracy and efficiency achieved with new methods.
Models Of Network Reliability
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Author : Ilya B. Gertsbakh
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Models Of Network Reliability written by Ilya B. Gertsbakh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Computers categories.
Unique in its approach, Models of Network Reliability: Analysis, Combinatorics, and Monte Carlo provides a brief introduction to Monte Carlo methods along with a concise exposition of reliability theory ideas. From there, the text investigates a collection of principal network reliability models, such as terminal connectivity for networks with unre