System Reliability Theory: Models and Statistical Methods

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John Wiley & Sons, Sep 25, 2009 - Technology & Engineering - 536 pages
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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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Read time models and counting processes only. Best colleague since many years. Models explained simply. A praying place when needs to remember time models.
I extremely recommend seekers to go through first, before goes into mathematical fashionable writings of some others.

Contents

1 Introduction
1
2 Failure Models
15
3 Qualitative System Analysis
73
4 Systems of Independent Components
147
5 Component Importance
183
6 Dependent Failures
207
7 Counting Processes
231
8 Markov Processes
301
14 Reliability Data Sources
561
Appendix A The Gamma and Beta Functions
573
Appendix B Laplace Transforms
577
Appendix C Kronecker Products
581
Appendix E Maximum Likelihood Estimation
587
Appendix F Statistical Tables
591
Acronyms
595
Glossary
599

9 Reliability of Maintained Systems
361
10 Reliability of Safety Systems
419
11 Life Data Analysis
465
12 Accelerated Life Testing
525
13 Bayesian Reliability Analysis
539

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