商品簡介
A thoroughly updated and revised look at system reliability theory
Since the first edition of this popular text was published nearly a decade ago, new standards have changed the focus of reliability engineering and introduced new concepts and terminology not previously addressed in the engineering literature. Consequently, the Second Edition of System Reliability Theory: Models, Statistical Methods, and Applications has been thoroughly rewritten and updated to meet current standards.
To maximize its value as a pedagogical tool, the Second Edition features:
Additional chapters on reliability of maintained systems and reliability assessment of safety-critical systems
Discussion of basic assessment methods for operational availability and production regularity
New concepts and terminology not covered in the first edition
Revised sequencing of chapters for better pedagogical structure
New problems, examples, and cases for a more applied focus
An accompanying Web site with solutions, overheads, and supplementary information
With its updated practical focus, incorporation of industry feedback, and many new examples based on real industry problems and data, the Second Edition of this important text should prove to be more useful than ever for students, instructors, and researchers alike.
作者簡介
MARVIN RAUSAND is a Professor in the Department of Production and Quality Engineering at the Norwegian University of Science and Technology.
The late ARNLJOT HOYLAND, PhD, was a Professor in the Department of Mathematical Sciences at the Norwegian University of Science and Technology. Dr. Hoyland died in December 2002 at the age of 78.
目次
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.
