Probabilistic Reliability

Author : Bart W. Tuinema,José L. Rueda Torres,Alexandru I. Stefanov,Francisco M. Gonzalez-Longatt,Mart A. M. M. van der Meijden
Publisher : Springer Nature
Page : 337 pages
File Size : 55,8 Mb
Release : 2020-04-22
Category : Technology & Engineering
ISBN : 9783030434984

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Probabilistic Reliability Analysis of Power Systems by Bart W. Tuinema,José L. Rueda Torres,Alexandru I. Stefanov,Francisco M. Gonzalez-Longatt,Mart A. M. M. van der Meijden Pdf

This textbook provides an introduction to probabilistic reliability analysis of power systems. It discusses a range of probabilistic methods used in reliability modelling of power system components, small systems and large systems. It also presents the benefits of probabilistic methods for modelling renewable energy sources. The textbook describes real-life studies, discussing practical examples and providing interesting problems, teaching students the methods in a thorough and hands-on way. The textbook has chapters dedicated to reliability models for components (reliability functions, component life cycle, two-state Markov model, stress-strength model), small systems (reliability networks, Markov models, fault/event tree analysis) and large systems (generation adequacy, state enumeration, Monte-Carlo simulation). Moreover, it contains chapters about probabilistic optimal power flow, the reliability of underground cables and cyber-physical power systems. After reading this book, engineering students will be able to apply various methods to model the reliability of power system components, smaller and larger systems. The textbook will be accessible to power engineering students, as well as students from mathematics, computer science, physics, mechanical engineering, policy & management, and will allow them to apply reliability analysis methods to their own areas of expertise.

Author : Igor A. Ushakov
Publisher : John Wiley & Sons
Page : 166 pages
File Size : 46,5 Mb
Release : 2012-08-07
Category : Business & Economics
ISBN : 9781118370766

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Probabilistic Reliability Models by Igor A. Ushakov Pdf

Practical Approaches to Reliability Theory in Cutting-Edge Applications Probabilistic Reliability Models helps readers understand and properly use statistical methods and optimal resource allocation to solve engineering problems. The author supplies engineers with a deeper understanding of mathematical models while also equipping mathematically oriented readers with a fundamental knowledge of the engineeringrelated applications at the center of model building. The book showcases the use of probability theory and mathematical statistics to solve common, real-world reliability problems. Following an introduction to the topic, subsequent chapters explore key systems and models including: • Unrecoverable objects and recoverable systems • Methods of direct enumeration • Markov models and heuristic models • Performance effectiveness • Time redundancy • System survivability • Aging units and their related systems • Multistate systems Detailed case studies illustrate the relevance of the discussed methods to real-world technical projects including software failure avalanches, gas pipelines with underground storage, and intercontinental ballistic missile (ICBM) control systems. Numerical examples and detailed explanations accompany each topic, and exercises throughout allow readers to test their comprehension of the presented material. Probabilistic Reliability Models is an excellent book for statistics, engineering, and operations research courses on applied probability at the upper-undergraduate and graduate levels. The book is also a valuable reference for professionals and researchers working in industry who would like a mathematical review of reliability models and the relevant applications.

Author : Boris Gnedenko,Igor A. Ushakov
Publisher : John Wiley & Sons
Page : 546 pages
File Size : 52,8 Mb
Release : 1995-05-08
Category : Technology & Engineering
ISBN : 0471305022

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Probabilistic Reliability Engineering by Boris Gnedenko,Igor A. Ushakov Pdf

With the growing complexity of engineered systems, reliability hasincreased in importance throughout the twentieth century. Initiallydeveloped to meet practical needs, reliability theory has become anapplied mathematical discipline that permits a priori evaluationsof various reliability indices at the design stages. Theseevaluations help engineers choose an optimal system structure,improve methods of maintenance, and estimate the reliability on thebasis of special testing. Probabilistic Reliability Engineeringfocuses on the creation of mathematical models for solving problemsof system design. Broad and authoritative in its content, Probabilistic ReliabilityEngineering covers all mathematical models associated withprobabilistic methods of reliability analysis, including--unique tothis book--maintenance and cost analysis, as well as many newresults of probabilistic testing. To provide readers with all necessary background material, thistext incorporates a thorough review of the fundamentals ofprobability theory and the theory of stochastic processes. Itoffers clear and detailed treatment of reliability indices, thestructure function, load-strength reliability models, distributionswith monotone intensity functions, repairable systems, the Markovmodels, analysis of performance effectiveness, two-pole networks,optimal redundancy, optimal technical diagnosis, and heuristicmethods in reliability. Throughout the text, an abundance of realworld examples and case studies illustrate and illuminate thetheoretical points under consideration. For engineers in design, operations research, and maintenance, aswell as cost analysts and R&D managers, ProbabilisticReliability Engineering offers the most lucid, comprehensivetreatment of the subject available anywhere. About the editor JAMES A. FALK is Professor and Chairman of the Department ofOperations Research at George Washington University. In addition tohis numerous publications, Dr. Falk has lectured internationally asa Fulbright Lecturer. Of related interest... The reliability-testing "bible" for three generations of EasternEuropean scientists, adapted for Western scientists andengineers... HANDBOOK OF RELIABILITY ENGINEERING Originally published in the USSR, Handbook of ReliabilityEngineering set the standard for the reliability testing oftechnical systems for nearly three generations of appliedscientists and engineers. Authored by a group of prominent Sovietspecialists in reliability, it provides professionals and studentswith a comprehensive reference covering mathematical formulas andtechniques for incorporating reliability into engineering designsand testing procedures. Divided into twenty-four self-containedchapters, the Handbook details reliability fundamentals, examinescommon reliability problems and solutions, provides a collection ofcomputation formulas, and illustrates practical applications. The Handbook's Russian editor and internationally recognized expertIgor A. Ushakov has joined with American engineering professionalsto bring this indispensable resource to English-speaking engineersand scientists. 1994 (0-471-57173-3) 663 pp.

Author : Joel A. Nachlas
Publisher : CRC Press
Page : 378 pages
File Size : 46,7 Mb
Release : 2017-03-03
Category : Technology & Engineering
ISBN : 9781315307589

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Reliability Engineering by Joel A. Nachlas Pdf

Without proper reliability and maintenance planning, even the most efficient and seemingly cost-effective designs can incur enormous expenses due to repeated or catastrophic failure and subsequent search for the cause. Today’s engineering students face increasing pressure from employers, customers, and regulators to produce cost-efficient designs that are less prone to failure and that are safe and easy to use. The second edition of Reliability Engineering aims to provide an understanding of reliability principles and maintenance planning to help accomplish these goals. This edition expands the treatment of several topics while maintaining an integrated introductory resource for the study of reliability evaluation and maintenance planning. The focus across all of the topics treated is the use of analytical methods to support the design of dependable and efficient equipment and the planning for the servicing of that equipment. The argument is made that probability models provide an effective vehicle for portraying and evaluating the variability that is inherent in the performance and longevity of equipment. With a blend of mathematical rigor and readability, this book is the ideal introductory textbook for graduate students and a useful resource for practising engineers.

Author : Jaeseok Choi,Kwang Y. Lee
Publisher : John Wiley & Sons
Page : 516 pages
File Size : 52,5 Mb
Release : 2021-10-12
Category : Technology & Engineering
ISBN : 9781119684138

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Probabilistic Power System Expansion Planning with Renewable Energy Resources and Energy Storage Systems by Jaeseok Choi,Kwang Y. Lee Pdf

Probabilistic Power System Expansion Planning with Renewable Energy Resources and Energy Storage Systems Discover how modern techniques have shaped complex power system expansion planning with this one-stop resource from two experts in the field Probabilistic Power System Expansion Planning with Renewable Energy Resources and Energy Storage Systems delivers a comprehensive collection of innovative approaches to the probabilistic planning of generation and transmission systems under uncertainties. The book includes renewables and energy storage calculations when using probabilistic and deterministic reliability techniques to assess system performance from a long-term expansion planning viewpoint. Divided into two sections, the book first covers topics related to Generation Expansion Planning, with chapters on cost assessment, methodology and optimization, and more. The second and final section provides information on Transmission System Expansion Planning, with chapters on reliability constraints, probabilistic production cost simulation, and more. Probabilistic Power System Expansion Planning compares the optimization and methodology across dynamic, linear, and integer programming and explores the branch and bound algorithm. Along with case studies to demonstrate how the techniques described within have been applied in complex power system expansion planning problems, readers will enjoy: A thorough discussion of generation expansion planning, including cost assessment, methodology and optimization, and probabilistic production cost An exploration of transmission system expansion planning, including the branch and bound algorithm, probabilistic production cost simulation for TEP, and TEP with reliability constraints An examination of fuzzy decision making applied to transmission system expansion planning A treatment of probabilistic reliability-based grid expansion planning of power systems including wind turbine generators Perfect for power and energy systems designers, planners, operators, consultants, practicing engineers, software developers, and researchers, Probabilistic Power System Expansion Planning with Renewable Energy Resources and Energy Storage Systems will also earn a place in the libraries of practicing engineers who regularly deal with optimization problems.

Author : Wenyuan Li
Publisher : John Wiley & Sons
Page : 276 pages
File Size : 51,8 Mb
Release : 2011-10-14
Category : Technology & Engineering
ISBN : 9780470934708

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Probabilistic Transmission System Planning by Wenyuan Li Pdf

The book is composed of 12 chapters and three appendices, and can be divided into four parts. The first part includes Chapters 2 to 7, which discuss the concepts, models, methods and data in probabilistic transmission planning. The second part, Chapters 8 to 11, addresses four essential issues in probabilistic transmission planning applications using actual utility systems as examples. Chapter 12, as the third part, focuses on a special issue, i.e. how to deal with uncertainty of data in probabilistic transmission planning. The fourth part consists of three appendices, which provide the basic knowledge in mathematics for probabilistic planning.

Author : Mohammad Modarres,Mehdi Amiri,Christopher Jackson
Publisher : John Wiley & Sons
Page : 289 pages
File Size : 50,7 Mb
Release : 2017-06-23
Category : Technology & Engineering
ISBN : 9781119388685

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Probabilistic Physics of Failure Approach to Reliability by Mohammad Modarres,Mehdi Amiri,Christopher Jackson Pdf

The book presents highly technical approaches to the probabilistic physics of failure analysis and applications to accelerated life and degradation testing to reliability prediction and assessment. Beside reviewing a select set of important failure mechanisms, the book covers basic and advanced methods of performing accelerated life test and accelerated degradation tests and analyzing the test data. The book includes a large number of very useful examples to help readers understand complicated methods described. Finally, MATLAB, R and OpenBUGS computer scripts are provided and discussed to support complex computational probabilistic analyses introduced.

Author : Achintya Haldar,Sankaran Mahadevan
Publisher : John Wiley & Sons
Page : 328 pages
File Size : 55,8 Mb
Release : 2000
Category : Mathematics
ISBN : UOM:39015050133811

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Probability, Reliability, and Statistical Methods in Engineering Design by Achintya Haldar,Sankaran Mahadevan Pdf

Text for a one-term course on Probability and Statistics intended primarily for civil engineering majors. Most often taught out of the Civil Engineering Department. Covers the key concepts and statistical techniques for assessing the reliability of structures and the risk factors in their design.

Author : José C. Matos,Paulo B. Lourenço,Daniel V. Oliveira,Jorge Branco,Dirk Proske,Rui A. Silva,Hélder S. Sousa
Publisher : Springer Nature
Page : 855 pages
File Size : 54,9 Mb
Release : 2021-05-07
Category : Technology & Engineering
ISBN : 9783030736163

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18th International Probabilistic Workshop by José C. Matos,Paulo B. Lourenço,Daniel V. Oliveira,Jorge Branco,Dirk Proske,Rui A. Silva,Hélder S. Sousa Pdf

This volume presents the proceedings of the 18th International Probabilistic Workshop (IPW), which was held in Guimarães, Portugal in May 2021. Probabilistic methods are currently of crucial importance for research and developments in the field of engineering, which face challenges presented by new materials and technologies and rapidly changing societal needs and values. Contemporary needs related to, for example, performance-based design, service-life design, life-cycle analysis, product optimization, assessment of existing structures and structural robustness give rise to new developments as well as accurate and practically applicable probabilistic and statistical engineering methods to support these developments. These proceedings are a valuable resource for anyone interested in contemporary developments in the field of probabilistic engineering applications.

Author : Ilia B. Frenkel,Alex Karagrigoriou,Anatoly Lisnianski,Andre Kleyner
Publisher : John Wiley & Sons
Page : 449 pages
File Size : 53,7 Mb
Release : 2013-08-22
Category : Technology & Engineering
ISBN : 9781118701898

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Applied Reliability Engineering and Risk Analysis by Ilia B. Frenkel,Alex Karagrigoriou,Anatoly Lisnianski,Andre Kleyner Pdf

This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field. With comprehensive coverage of the theoretical and practical issues of both classic and modern topics, it also provides a unique commemoration to the centennial of the birth of Boris Gnedenko, one of the most prominent reliability scientists of the twentieth century. Key features include: expert treatment of probabilistic models and statistical inference from leading scientists, researchers and practitioners in their respective reliability fields detailed coverage of multi-state system reliability, maintenance models, statistical inference in reliability, systemability, physics of failures and reliability demonstration many examples and engineering case studies to illustrate the theoretical results and their practical applications in industry Applied Reliability Engineering and Risk Analysis is one of the first works to treat the important areas of degradation analysis, multi-state system reliability, networks and large-scale systems in one comprehensive volume. It is an essential reference for engineers and scientists involved in reliability analysis, applied probability and statistics, reliability engineering and maintenance, logistics, and quality control. It is also a useful resource for graduate students specialising in reliability analysis and applied probability and statistics. Dedicated to the Centennial of the birth of Boris Gnedenko, renowned Russian mathematician and reliability theorist

Author : Martin L. Shooman
Publisher : Unknown
Page : 556 pages
File Size : 49,9 Mb
Release : 1968
Category : Mathematics
ISBN : UOM:39015000496102

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Probabilistic Reliability by Martin L. Shooman Pdf

Author : Martin L. Shooman
Publisher : Unknown
Page : 552 pages
File Size : 54,7 Mb
Release : 1968
Category : Mathematics
ISBN : UCAL:B4132364

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Probabilistic Reliability by Martin L. Shooman Pdf

Author : Dana Kelly,Curtis Smith
Publisher : Springer Science & Business Media
Page : 230 pages
File Size : 53,6 Mb
Release : 2011-08-30
Category : Technology & Engineering
ISBN : 9781849961875

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Bayesian Inference for Probabilistic Risk Assessment by Dana Kelly,Curtis Smith Pdf

Bayesian Inference for Probabilistic Risk Assessment provides a Bayesian foundation for framing probabilistic problems and performing inference on these problems. Inference in the book employs a modern computational approach known as Markov chain Monte Carlo (MCMC). The MCMC approach may be implemented using custom-written routines or existing general purpose commercial or open-source software. This book uses an open-source program called OpenBUGS (commonly referred to as WinBUGS) to solve the inference problems that are described. A powerful feature of OpenBUGS is its automatic selection of an appropriate MCMC sampling scheme for a given problem. The authors provide analysis “building blocks” that can be modified, combined, or used as-is to solve a variety of challenging problems. The MCMC approach used is implemented via textual scripts similar to a macro-type programming language. Accompanying most scripts is a graphical Bayesian network illustrating the elements of the script and the overall inference problem being solved. Bayesian Inference for Probabilistic Risk Assessment also covers the important topics of MCMC convergence and Bayesian model checking. Bayesian Inference for Probabilistic Risk Assessment is aimed at scientists and engineers who perform or review risk analyses. It provides an analytical structure for combining data and information from various sources to generate estimates of the parameters of uncertainty distributions used in risk and reliability models.

Author : Giora Maymon
Publisher : Elsevier
Page : 488 pages
File Size : 42,7 Mb
Release : 2008-07-01
Category : Technology & Engineering
ISBN : 9780080559094

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Structural Dynamics and Probabilistic Analysis for Engineers by Giora Maymon Pdf

Probabilistic structural dynamics offers unparalleled tools for analyzing uncertainties in structural design. Once avoided because it is mathematically rigorous, this technique has recently remerged with the aide of computer software. Written by an author/educator with 40 years of experience in structural design, this user friendly manual integrates theories, formulas and mathematical models to produce a guide that will allow professionals to quickly grasp concepts and start solving problems. In this book, the author uses simple examples that provide templates for creating of more robust case studies later in the book. *Problems are presented in an easy to understand form *Practical guide to software programs to solve design problems *Packed with examples and case studies of actual projects *Classical and the new stochastic factors of safety

Author : Poong-Hyun Seong
Publisher : Springer Science & Business Media
Page : 315 pages
File Size : 48,6 Mb
Release : 2008-11-25
Category : Technology & Engineering
ISBN : 9781848003835

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Reliability and Risk Issues in Large Scale Safety-critical Digital Control Systems by Poong-Hyun Seong Pdf

“Reliability and Risk Issues in Large Scale Safety-critical Digital Control Systems” provides a comprehensive coverage of reliability issues and their corresponding countermeasures in the field of large-scale digital control systems, from the hardware and software in digital systems to the human operators who supervise the overall process of large-scale systems. Unlike other books which examine theories and issues in individual fields, this book reviews important problems and countermeasures across the fields of software reliability, software verification and validation, digital systems, human factors engineering and human reliability analysis. Divided into four sections dealing with software reliability, digital system reliability, human reliability and human operators in large-scale digital systems, the book offers insights from professional researchers in each specialized field in a diverse yet unified approach.