Topic
Reliability theory
About: Reliability theory is a research topic. Over the lifetime, 3938 publications have been published within this topic receiving 89049 citations. The topic is also known as: reliability engineering.
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Book•
01 Jun 1981
TL;DR: A number of new classes of life distributions arising naturally in reliability models are treated systematically and each provides a realistic probabilistic description of a physical property occurring in the reliability context, thus permitting more realistic modeling of commonly occurring reliability situations.
Abstract: : This is the first of two books on the statistical theory of reliability and life testing. The present book concentrates on probabilistic aspects of reliability theory, while the forthcoming book will focus on inferential aspects of reliability and life testing, applying the probabilistic tools developed in this volume. This book emphasizes the newer, research aspects of reliability theory. The concept of a coherent system serves as a unifying theme for much of the book. A number of new classes of life distributions arising naturally in reliability models are treated systematically: the increasing failure rate average, new better than used, decreasing mean residual life, and other classes of distributions. As the names would seem to indicate, each such class of life distributions provides a realistic probabilistic description of a physical property occurring in the reliability context. Also various types of positive dependence among random variables are considered, thus permitting more realistic modeling of commonly occurring reliability situations.
3,876 citations
Book•
01 Jan 1994
TL;DR: General Theory.
Abstract: General Theory. Applications in Statistics. Applications in Biology. Applications in Economics. Applications in Operations Research. Applications in Reliability Theory.
2,242 citations
Book•
05 Dec 2003
TL;DR: The aim of this book is to provide a Discussion of Reliability of Maintained Systems, Specifically, the Foundations of Bayesian Reliability Analysis, and its Applications to Life Data Analysis.
Abstract: Preface to the Second Edition. Preface to the First Edition. Acknowledgments. 1. Introduction. 2. Failure Models. 3. Qualitative Systems Analysis. 4. Systems of Independent Components. 5. Component Importance. 6. Dependent Failures. 7. Counting Processes. 8. Markov Models. 9. Reliability of Maintained Systems. 10. Reliability of Safety Systems. 11. Life Data Analysis. 12. Accelerated Life Testing. 13. Bayesian Reliability Analysis. 14. Reliability Data Sources. Appendix A. The Gamma and Beta Functions. Appendix B. Laplace Transforms. Appendix C. Kronecker Products. Appendix D. Distribution Theorems. Appendix E. Maximum Likelihood Estimation. Appendix F. Statistical Tables. Acronyms. Glossary. References. Author Index. Subject Index.
1,559 citations
TL;DR: In this paper, a problem of optimal stopping is formulated and simple rules are proposed which are asymptotically optimal in an appropriate sense, which is of central importance in quality control and also has applications in reliability theory.
Abstract: A problem of optimal stopping is formulated and simple rules are proposed which are asymptotically optimal in an appropriate sense. The problem is of central importance in quality control and also has applications in reliability theory and other areas.
1,346 citations
Book•
01 Jan 1981
TL;DR: Practical Reliability Engineering as mentioned in this paper is the most widely used and widely used reliability textbook for engineering courses, with a focus on practical aspects of engineering, including mathematics of reliability, physics of failure, graphical and software methods of failure data analysis, reliability prediction and modelling.
Abstract: With emphasis on practical aspects of engineering, this bestseller has gained worldwide recognition through progressive editions as the essential reliability textbook. This fifth edition retains the unique balanced mixture of reliability theory and applications, thoroughly updated with the latest industry best practices.Practical Reliability Engineering fulfils the requirements of the Certified Reliability Engineer curriculum of the American Society for Quality (ASQ). Each chapter is supported by practice questions, and a solutions manual is available to course tutors via the companion website.Enhanced coverage of mathematics of reliability, physics of failure, graphical and software methods of failure data analysis, reliability prediction and modelling, design for reliability and safety as well as management and economics of reliability programmes ensures continued relevance to all quality assurance and reliability courses.Notable additions include:New chapters on applications of Monte Carlo simulation methods and reliability demonstration methods.Software applications of statistical methods, including probability plotting and a wider use of common software tools.More detailed descriptions of reliability prediction methods.Comprehensive treatment of accelerated test data analysis and warranty data analysis.Revised and expanded end-of-chapter tutorial sections to advance students practical knowledge.The fifth edition will appeal to a wide range of readers from college students to seasoned engineering professionals involved in the design, development, manufacture and maintenance of reliable engineering products and systems.www.wiley.com/go/oconnor_reliability5
1,106 citations