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System Reliability Theory: Models, Statistical Methods, and Applications - ISBN 9780471471332

System Reliability Theory: Models, Statistical Methods, and Applications

ISBN 9780471471332

Autor: Marvin Rausand, Arnljot Høyland

Wydawca: Wiley

Dostępność: 3-6 tygodni

Cena: 888,30 zł

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ISBN13:      

9780471471332

ISBN10:      

047147133X

Autor:      

Marvin Rausand, Arnljot Høyland

Oprawa:      

Hardback

Rok Wydania:      

2004-01-09

Numer Wydania:      

2nd Edition

Ilość stron:      

672

Wymiary:      

242x162

Tematy:      

PB

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 systemsDiscussion of basic assessment methods for operational availability and production regularityNew concepts and terminology not covered in the first editionRevised sequencing of chapters for better pedagogical structureNew problems, examples, and cases for a more applied focusAn 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.

Spis treści:
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 Tra nsforms.
Appendix C. Kronecker Products.
Appendix D. Distribution Theorems.
Appendix E. Maximum Likelihood Estimation.
Appendix F. Statistical Tables.
Acronyms.
Glossary.
References.
Author Index.
Subject Index.


Nota biograficzna:
MARVIN RAUSAND is a Professor in the Department of Production and Quality Engineering at the Norwegian University of Science and Technology.
The late ARNLJOT HØYLAND, PhD, was a Professor in the Department of Mathematical Sciences at the Norwegian University of Science and Technology. Dr. Høyland died in December 2002 at the age of 78.

Okładka tylna:
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 systemsDiscussion of basic assessment methods for operational availability and production regularityNew concepts and terminology not covered in the first editionRevised sequencing of chapters for better pedagogical structureNew problems, examples, and cases for a more applied focusAn 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.

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