System reliability theory : models, statistical methods, and applications
By: Rausand, Marvin
Title By: Høyland, Arnljot
Material type:
BookSeries: Publisher: Hoboken, NJ : Wiley-Interscience, c2004.Edition: 2nd ed.Description: xix, 636 p. : ill. ; 24 cm.ISBN: 978-0471471332Program: ENGG961Subject(s): Reliability (Engineering) -- Statistical methods | Engineering | Civil engineeringDDC classification: 620/.00452 | Item type | Home library | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
| REGULAR | University of Wollongong in Dubai Main Collection | 620.00452 RA SY (Browse shelf) | Available | T0054892 | ||
| REGULAR | University of Wollongong in Dubai Main Collection | 620.00452 RA SY (Browse shelf) | Available | T0054893 |
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| 620.00452 PR AC Practical reliability engineering | 620.00452 PY HA The handbook for quality management : a complete guide to operational excellence / | 620.00452 RA SY System reliability theory : models, statistical methods, and applications | 620.00452 RA SY System reliability theory : models, statistical methods, and applications | 620.00452 RE LI Reliability engineering : | 620.00452 SM RE Reliability, maintainability, and risk : | 620.00452 WE PR Practical reliability engineering and analysis for system design and life-cycle sustainment |
Høyland's name appears first on the earlier edition.
Includes bibliographical references (p. 605-624) and index.
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.
A comprehensive introduction to reliability analysis. The first section provides a thorough but elementary prologue to reliability theory. The latter half comprises more advanced analytical tools including Markov processes, renewal theory, life data analysis, accelerated life testing and Bayesian reliability analysis. Features numerous worked examples. Each chapter concludes with a selection of problems plus additional material on applications
ENGG961