Reliability And Risk Models

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Failure Rate Modelling for Reliability and Risk

Author : Maxim Finkelstein
Publisher : Springer Science & Business Media
Page : 290 pages
File Size : 53,8 Mb
Release : 2008-11-07
Category : Technology & Engineering
ISBN : 9781848009868

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Failure Rate Modelling for Reliability and Risk by Maxim Finkelstein Pdf

“Failure Rate Modeling for Reliability and Risk” focuses on reliability theory, and to the failure rate (hazard rate, force of mortality) modeling and its generalizations to systems operating in a random environment and to repairable systems. The failure rate is one of the crucial probabilistic characteristics for a number of disciplines; including reliability, survival analysis, risk analysis and demography. The book presents a systematic study of the failure rate and related indices, and covers a number of important applications where the failure rate plays the major role. Applications in engineering systems are studied, together with some actuarial, biological and demographic examples. The book provides a survey of this broad and interdisciplinary subject which will be invaluable to researchers and advanced students in reliability engineering and applied statistics, as well as to demographers, econometricians, actuaries and many other mathematically oriented researchers.

Reliability and Risk Models

Author : M. T. Todinov
Publisher : John Wiley & Sons
Page : 352 pages
File Size : 50,7 Mb
Release : 2005-05-20
Category : Social Science
ISBN : 0470094885

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Reliability and Risk Models by M. T. Todinov Pdf

This book describes a radically new approach and technology for setting reliability requirements based on minimum failure-free operating periods (MFFOP technology). It covers how systems characterized by high cost (consequences) of failure, to develop reliability analysis driven by the consequences of failure.

Reliability and Risk Models

Author : Michael Todinov
Publisher : John Wiley & Sons
Page : 448 pages
File Size : 41,8 Mb
Release : 2015-09-01
Category : Technology & Engineering
ISBN : 9781118873311

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Reliability and Risk Models by Michael Todinov Pdf

A comprehensively updated and reorganized new edition. The updates include comparative methods for improving reliability; methods for optimal allocation of limited resources to achieve a maximum risk reduction; methods for improving reliability at no extra cost and building reliability networks for engineering systems. Includes: A unique set of 46 generic principles for reducing technical risk Monte Carlo simulation algorithms for improving reliability and reducing risk Methods for setting reliability requirements based on the cost of failure New reliability measures based on a minimal separation of random events on a time interval Overstress reliability integral for determining the time to failure caused by overstress failure modes A powerful equation for determining the probability of failure controlled by defects in loaded components with complex shape Comparative methods for improving reliability which do not require reliability data Optimal allocation of limited resources to achieve a maximum risk reduction Improving system reliability based solely on a permutation of interchangeable components

Reliability and Risk Modeling of Engineering Systems

Author : Dilbagh Panchal,Prasenjit Chatterjee,Dragan Pamucar,Mohit Tyagi
Publisher : Springer Nature
Page : 165 pages
File Size : 47,5 Mb
Release : 2021-05-21
Category : Technology & Engineering
ISBN : 9783030701512

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Reliability and Risk Modeling of Engineering Systems by Dilbagh Panchal,Prasenjit Chatterjee,Dragan Pamucar,Mohit Tyagi Pdf

This book addresses reliability, maintenance, risk, and safety issues of industrial systems with applications of the latest decision-making techniques. Thus, this book presents chapters that apply advanced tools, techniques, and computing models for optimizing the performance of industrial and manufacturing systems, along with other complex engineering equipment. Computing techniques like data analytics, failure mode and effects analysis, fuzzy set theory, petri-net, multi-criteria decision-making (MCDM), and soft computing are used for solving problems of reliability, risk, and safety related issues.

An Introduction to the Basics of Reliability and Risk Analysis

Author : Enrico Zio
Publisher : World Scientific
Page : 237 pages
File Size : 47,9 Mb
Release : 2007
Category : Technology & Engineering
ISBN : 9789812706393

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An Introduction to the Basics of Reliability and Risk Analysis by Enrico Zio Pdf

The necessity of expertise for tackling the complicated and multidisciplinary issues of safety and risk has slowly permeated into all engineering applications so that risk analysis and management has gained a relevant role, both as a tool in support of plant design and as an indispensable means for emergency planning in accidental situations. This entails the acquisition of appropriate reliability modeling and risk analysis tools to complement the basic and specific engineering knowledge for the technological area of application.Aimed at providing an organic view of the subject, this book provides an introduction to the principal concepts and issues related to the safety of modern industrial activities. It also illustrates the classical techniques for reliability analysis and risk assessment used in current practice.

Reliability Engineering and Risk Analysis

Author : Mohammad Modarres,Mark P. Kaminskiy,Vasiliy Krivtsov
Publisher : CRC Press
Page : 504 pages
File Size : 49,9 Mb
Release : 2016-11-25
Category : Technology & Engineering
ISBN : 9781498745888

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Reliability Engineering and Risk Analysis by Mohammad Modarres,Mark P. Kaminskiy,Vasiliy Krivtsov Pdf

This undergraduate and graduate textbook provides a practical and comprehensive overview of reliability and risk analysis techniques. Written for engineering students and practicing engineers, the book is multi-disciplinary in scope. The new edition has new topics in classical confidence interval estimation; Bayesian uncertainty analysis; models for physics-of-failure approach to life estimation; extended discussions on the generalized renewal process and optimal maintenance; and further modifications, updates, and discussions. The book includes examples to clarify technical subjects and many end of chapter exercises. PowerPoint slides and a Solutions Manual are also available.

Reliability and Risk Models

Author : Michael Todinov
Publisher : John Wiley & Sons
Page : 342 pages
File Size : 40,8 Mb
Release : 2005-11-01
Category : Technology & Engineering
ISBN : 9780470094891

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Reliability and Risk Models by Michael Todinov Pdf

An introduction to the MFFOP and cost-of-failure based approaches to reliability analysis and its applications. For many production systems it is important to guarantee a small risk of violating specified minimum failure-free operating periods before random failures. This is dictated by the high cost of failure and the intervention for repair. Reliability and Risk Models describes radically new approaches for setting quantitative reliability requirements based on the cost of failure and specified minimum failure-free operating periods (MFFOP). The cost-of-failure based reliability analysis provides a real alternative to the current reliability analysis disconnected from the cost of failure. Beginning with a comprehensive introduction to reliability and risk analysis based on random variables, this book: Examines a new methodology for problem solving in the context of real reliability engineering problems. Demonstrates the new reliability methodology through a number of practical applications and case studies. Supplies the code of the algorithms which can be used for reliability analyses and setting quantitative reliability requirements. Gives a comprehensive overview of basic Monte Carlo simulation techniques and algorithms for solving reliability engineering problems. In addition, this book provides a comprehensive introduction to load-strength interference models for reliability and risk analysis by introducing the overstress reliability integral: a generalisation of the load-strength interference integral with the time included. Furthermore, an efficient model for determining the probability of failure of loaded components and structures with internal flaws is also presented. Reliability and Risk Models is essential reading for practising engineers, researchers and consultants dealing with reliability and risk assessment. Lecturers and graduate students involved in reliability engineering will also find it an excellent reference and it is a useful tool for actuaries, economists and lecturers in applied probability and statistics.

Risk, Reliability and Safety: Innovating Theory and Practice

Author : Lesley Walls,Matthew Revie,Tim Bedford
Publisher : CRC Press
Page : 2983 pages
File Size : 40,5 Mb
Release : 2016-11-25
Category : Technology & Engineering
ISBN : 9781498788984

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Risk, Reliability and Safety: Innovating Theory and Practice by Lesley Walls,Matthew Revie,Tim Bedford Pdf

Risk, Reliability and Safety contains papers describing innovations in theory and practice contributed to the scientific programme of the European Safety and Reliability conference (ESREL 2016), held at the University of Strathclyde in Glasgow, Scotland (25—29 September 2016). Authors include scientists, academics, practitioners, regulators and other key individuals with expertise and experience relevant to specific areas. Papers include domain specific applications as well as general modelling methods. Papers cover evaluation of contemporary solutions, exploration of future challenges, and exposition of concepts, methods and processes. Topics include human factors, occupational health and safety, dynamic and systems reliability modelling, maintenance optimisation, uncertainty analysis, resilience assessment, risk and crisis management.

Reliability and Risk Analysis

Author : Terje Aven
Publisher : Springer Science & Business Media
Page : 347 pages
File Size : 55,8 Mb
Release : 2012-12-06
Category : Science
ISBN : 9789401128582

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Reliability and Risk Analysis by Terje Aven Pdf

Analysis of reliability and risk is an important and integral part of planning, construction and operation of all technical systems. To be able to perform such analyses systematically and scientifically, there is usually a need for special methods and models. This book presents the most important of these. Particular emphasis has been placed on the ideas and the motivation for the use of the various methods and models. It has been an objective to compile a book which provides practising engineers and engineering graduates with the concepts and basic techniques for evaluating reliability and risk. It is hoped that the material presented will make them so familiar with the subject that they can carry out various types of analyses themselves and understand and make use of the more detailed applications and additional material which is available in the journals and publications associated with their own discipline. It has also been an objective to put reliability and risk analyses in context - how such analyses should be used in design and operation of components and systems. The material presented is modern and a large part of the book is at research level. The book focuses on analysis of repairable systems, not only non-repairable systems which have traditionally been given most attention in textbooks on reliability theory. Since most real-life systems are repairable, methods for analysing repairable systems are an important area of research. The book presents general methods, with most applications taken from offshore petro leum activities.

Stochastic Orders in Reliability and Risk

Author : Haijun Li,Xiaohu Li
Publisher : Springer Science & Business Media
Page : 459 pages
File Size : 42,5 Mb
Release : 2013-06-22
Category : Mathematics
ISBN : 9781461468929

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Stochastic Orders in Reliability and Risk by Haijun Li,Xiaohu Li Pdf

Stochastic Orders in Reliability and Risk Management is composed of 19 contributions on the theory of stochastic orders, stochastic comparison of order statistics, stochastic orders in reliability and risk analysis, and applications. These review/exploratory chapters present recent and current research on stochastic orders reported at the International Workshop on Stochastic Orders in Reliability and Risk Management, or SORR2011, which took place in the City Hotel, Xiamen, China, from June 27 to June 29, 2011. The conference’s talks and invited contributions also represent the celebration of Professor Moshe Shaked, who has made comprehensive, fundamental contributions to the theory of stochastic orders and its applications in reliability, queueing modeling, operations research, economics and risk analysis. This volume is in honor of Professor Moshe Shaked. The work presented in this volume represents active research on stochastic orders and multivariate dependence, and exemplifies close collaborations between scholars working in different fields. The Xiamen Workshop and this volume seek to revive the community workshop tradition on stochastic orders and dependence and strengthen research collaboration, while honoring the work of a distinguished scholar.

Reliability and Risk

Author : Nozer D. Singpurwalla
Publisher : John Wiley & Sons
Page : 396 pages
File Size : 40,8 Mb
Release : 2006-08-14
Category : Mathematics
ISBN : 9780470060339

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Reliability and Risk by Nozer D. Singpurwalla Pdf

We all like to know how reliable and how risky certain situations are, and our increasing reliance on technology has led to the need for more precise assessments than ever before. Such precision has resulted in efforts both to sharpen the notions of risk and reliability, and to quantify them. Quantification is required for normative decision-making, especially decisions pertaining to our safety and wellbeing. Increasingly in recent years Bayesian methods have become key to such quantifications. Reliability and Risk provides a comprehensive overview of the mathematical and statistical aspects of risk and reliability analysis, from a Bayesian perspective. This book sets out to change the way in which we think about reliability and survival analysis by casting them in the broader context of decision-making. This is achieved by: Providing a broad coverage of the diverse aspects of reliability, including: multivariate failure models, dynamic reliability, event history analysis, non-parametric Bayes, competing risks, co-operative and competing systems, and signature analysis. Covering the essentials of Bayesian statistics and exchangeability, enabling readers who are unfamiliar with Bayesian inference to benefit from the book. Introducing the notion of “composite reliability”, or the collective reliability of a population of items. Discussing the relationship between notions of reliability and survival analysis and econometrics and financial risk. Reliability and Risk can most profitably be used by practitioners and research workers in reliability and survivability as a source of information, reference, and open problems. It can also form the basis of a graduate level course in reliability and risk analysis for students in statistics, biostatistics, engineering (industrial, nuclear, systems), operations research, and other mathematically oriented scientists, wherein the instructor could supplement the material with examples and problems.

Reliability, Maintainability and Risk

Author : David J. Smith
Publisher : Elsevier
Page : 436 pages
File Size : 54,5 Mb
Release : 2011-06-29
Category : Business & Economics
ISBN : 0080969038

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Reliability, Maintainability and Risk by David J. Smith Pdf

Reliability, Maintainability and Risk: Practical Methods for Engineers, Eighth Edition, discusses tools and techniques for reliable and safe engineering, and for optimizing maintenance strategies. It emphasizes the importance of using reliability techniques to identify and eliminate potential failures early in the design cycle. The focus is on techniques known as RAMS (reliability, availability, maintainability, and safety-integrity). The book is organized into five parts. Part 1 on reliability parameters and costs traces the history of reliability and safety technology and presents a cost-effective approach to quality, reliability, and safety. Part 2 deals with the interpretation of failure rates, while Part 3 focuses on the prediction of reliability and risk. Part 4 discusses design and assurance techniques; review and testing techniques; reliability growth modeling; field data collection and feedback; predicting and demonstrating repair times; quantified reliability maintenance; and systematic failures. Part 5 deals with legal, management and safety issues, such as project management, product liability, and safety legislation. 8th edition of this core reference for engineers who deal with the design or operation of any safety critical systems, processes or operations Answers the question: how can a defect that costs less than $1000 dollars to identify at the process design stage be prevented from escalating to a $100,000 field defect, or a $1m+ catastrophe Revised throughout, with new examples, and standards, including must have material on the new edition of global functional safety standard IEC 61508, which launches in 2010

The Monte Carlo Simulation Method for System Reliability and Risk Analysis

Author : Enrico Zio
Publisher : Springer Science & Business Media
Page : 204 pages
File Size : 48,9 Mb
Release : 2012-11-02
Category : Technology & Engineering
ISBN : 9781447145882

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The Monte Carlo Simulation Method for System Reliability and Risk Analysis by Enrico Zio Pdf

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.

Shock and Damage Models in Reliability Theory

Author : Toshio Nakagawa
Publisher : Springer Science & Business Media
Page : 191 pages
File Size : 46,5 Mb
Release : 2007-02-01
Category : Technology & Engineering
ISBN : 9781846284427

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Shock and Damage Models in Reliability Theory by Toshio Nakagawa Pdf

This is the first monograph which presents shock and damage models in reliability from introduction to application. Stochastic processes are introduced before current developments are surveyed. The practical applications of shock and damage models are demonstrated using case studies. The author is a leading researcher in this field with more than thirty years of experience. Reliability engineers and managers of maintenance work will find this book a broad reference.

Computational Methods for Reliability and Risk Analysis

Author : Enrico Zio
Publisher : World Scientific
Page : 363 pages
File Size : 42,6 Mb
Release : 2009
Category : Technology & Engineering
ISBN : 9789812839015

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Computational Methods for Reliability and Risk Analysis by Enrico Zio Pdf

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.