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System reliability theory : models, statistical methods, and applications

By: Rausand, Marvin
Title By: Høyland, Arnljot, 1924-
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
Summary:
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
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Item type Home library Call number Status Date due Barcode Item holds Course reserves
REGULAR University of Wollongong in Dubai
Main Collection
620.00452 RA SY (Browse shelf) Available T0054892

ENGG961 Autumn2021

REGULAR University of Wollongong in Dubai
Main Collection
620.00452 RA SY (Browse shelf) Available T0054893
Total holds: 0

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

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