Monte Carlo Bayesian System Reliability

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Monte Carlo Bayesian System Reliability

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Author : Mitchell O. Locks
language : en
Publisher:
Release Date : 1975

Monte Carlo Bayesian System Reliability written by Mitchell O. Locks and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975 with Monte Carlo method categories.

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

Bayesian Reliability

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Author : Michael S. Hamada
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-08-15

Bayesian Reliability written by Michael S. Hamada 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 2008-08-15 with Mathematics categories.

Bayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The adoption and application of Bayesian methods in virtually all branches of science and engineering have significantly increased over the past few decades. This increase is largely due to advances in simulation-based computational tools for implementing Bayesian methods. The authors extensively use such tools throughout this book, focusing on assessing the reliability of components and systems with particular attention to hierarchical models and models incorporating explanatory variables. Such models include failure time regression models, accelerated testing models, and degradation models. The authors pay special attention to Bayesian goodness-of-fit testing, model validation, reliability test design, and assurance test planning. Throughout the book, the authors use Markov chain Monte Carlo (MCMC) algorithms for implementing Bayesian analyses -- algorithms that make the Bayesian approach to reliability computationally feasible and conceptually straightforward. This book is primarily a reference collection of modern Bayesian methods in reliability for use by reliability practitioners. There are more than 70 illustrative examples, most of which utilize real-world data. This book can also be used as a textbook for a course in reliability and contains more than 160 exercises. Noteworthy highlights of the book include Bayesian approaches for the following: Goodness-of-fit and model selection methods Hierarchical models for reliability estimation Fault tree analysis methodology that supports data acquisition at all levels in the tree Bayesian networks in reliability analysis Analysis of failure count and failure time data collected from repairable systems, and the assessment of various related performance criteria Analysis of nondestructive and destructive degradation data Optimal design of reliability experiments Hierarchical reliability assurance testing

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.

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 Conceptual Design Reliability Prediction Method

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Author : Naval Postgraduate School
language : en
Publisher:
Release Date : 2021-01-16

The Conceptual Design Reliability Prediction Method written by Naval Postgraduate School and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-16 with categories.

This paper presents a system reliability prediction method suitable for use during conceptual design, called the conceptual design reliability prediction method (CDRPM). The CDRPM extends the early design reliability prediction method (EDRPM) by facilitating parameter characterizations that follow non-normal distributions. Functional-physical reliability relationships are established through a hierarchical Bayesian model solved by Markov Chain Monte Carlo (MCMC) sampling and aggregated using the system's reliability block diagram (RBD) to assess the likelihood of candidate architectures meeting a reliability requirement. Reliability predictions based on different types of failure data, specifically success ratios and failure rates, are compared herein in a case study of a generic launcher system assessed by the CDRPM. This research shows the effects of failure data type selection and distribution assumptions on architecture down-selection, leading to enhanced insight during conceptual design analysis.

Practical Applications Of Bayesian Reliability

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Author : Yan Liu
language : en
Publisher: John Wiley & Sons
Release Date : 2019-03-21

Practical Applications Of Bayesian Reliability written by Yan Liu 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 2019-03-21 with Technology & Engineering categories.

Demonstrates how to solve reliability problems using practical applications of Bayesian models This self-contained reference provides fundamental knowledge of Bayesian reliability and utilizes numerous examples to show how Bayesian models can solve real life reliability problems. It teaches engineers and scientists exactly what Bayesian analysis is, what its benefits are, and how they can apply the methods to solve their own problems. To help readers get started quickly, the book presents many Bayesian models that use JAGS and which require fewer than 10 lines of command. It also offers a number of short R scripts consisting of simple functions to help them become familiar with R coding. Practical Applications of Bayesian Reliability starts by introducing basic concepts of reliability engineering, including random variables, discrete and continuous probability distributions, hazard function, and censored data. Basic concepts of Bayesian statistics, models, reasons, and theory are presented in the following chapter. Coverage of Bayesian computation, Metropolis-Hastings algorithm, and Gibbs Sampling comes next. The book then goes on to teach the concepts of design capability and design for reliability; introduce Bayesian models for estimating system reliability; discuss Bayesian Hierarchical Models and their applications; present linear and logistic regression models in Bayesian Perspective; and more. Provides a step-by-step approach for developing advanced reliability models to solve complex problems, and does not require in-depth understanding of statistical methodology Educates managers on the potential of Bayesian reliability models and associated impact Introduces commonly used predictive reliability models and advanced Bayesian models based on real life applications Includes practical guidelines to construct Bayesian reliability models along with computer codes for all of the case studies JAGS and R codes are provided on an accompanying website to enable practitioners to easily copy them and tailor them to their own applications Practical Applications of Bayesian Reliability is a helpful book for industry practitioners such as reliability engineers, mechanical engineers, electrical engineers, product engineers, system engineers, and materials scientists whose work includes predicting design or product performance.

System And Bayesian Reliability

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Author : Yu Hayakawa
language : en
Publisher: World Scientific
Release Date : 2001

System And Bayesian Reliability written by Yu Hayakawa and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Technology & Engineering categories.

This volume is a collection of articles on reliability systems and Bayesian reliability analysis. Written by reputable researchers, the articles are self-contained and are linked with literature reviews and new research ideas. The book is dedicated to Emeritus Professor Richard E Barlow, who is well known for his pioneering research on reliability theory and Bayesian reliability analysis. Contents: System Reliability Analysis: On Regular Reliability Models (J-C Chang et al.); Bounding System Reliability (J N Hagstrom & S M Ross); Large Excesses for Finite-State Markov Chains (D Blackwell); Ageing Properties: Nonmonotonic Failure Rates and Mean Residual Life Functions (R C Gupta); The Failure Rate and the Mean Residual Lifetime of Mixtures (M S Finkelstein); On Some Discrete Notions of Aging (C Bracquemond et al.); Bayesian Analysis: On the Practical Implementation of the Bayesian Paradigm in Reliability and Risk Analysis (T Aven); A Weibull Wearout Test: Full Bayesian Approach (T Z Irony et al.); Bayesian Nonparametric Estimation of a Monotone Hazard Rate (M-W Ho & A Y Lo); and other papers. Readership: Students, academics, researchers and professionals in industrial engineering, probability and statistics, and applied mathematics.

The Theory And Applications Of Reliability With Emphasis On Bayesian And Nonparametric Methods

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Author : Chris P. Tsokos
language : en
Publisher:
Release Date : 1977

The Theory And Applications Of Reliability With Emphasis On Bayesian And Nonparametric Methods written by Chris P. Tsokos and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Mathematics categories.

Risk And Reliability Analysis Theory And Applications

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Author : Paolo Gardoni
language : en
Publisher: Springer
Release Date : 2017-02-24

Risk And Reliability Analysis Theory And Applications written by Paolo Gardoni and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-24 with Technology & Engineering categories.

This book presents a unique collection of contributions from some of the foremost scholars in the field of risk and reliability analysis. Combining the most advanced analysis techniques with practical applications, it is one of the most comprehensive and up-to-date books available on risk-based engineering. All the fundamental concepts needed to conduct risk and reliability assessments are covered in detail, providing readers with a sound understanding of the field and making the book a powerful tool for students and researchers alike. This book was prepared in honor of Professor Armen Der Kiureghian, one of the fathers of modern risk and reliability analysis.