System Reliability Theory: Models, Statistical Methods, and Applications

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John Wiley & Sons, 2004 - Mathematics - 636 pages
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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.

 

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Contents

Failure Models
15
Qualitative System Analysis
73
Systems of 1ndependent Components
147
Component 1mportance
183
Dependent Failures
207
Counting Processes
231
Markov Processes
301
Reliability of Maintained Systems
361
Accelerated Life Testing
525
Bayesian Reliability Analysis
539
Reliability Data Sources
561
Appendix A The Gamma and Beta Functions
573
Kronecker Products
581
Appendix E Maximum Likelihood Estimation
587
References
605
Author 1ndex
625

Reliability of SafetySystems
419
Life Data Analysis
465

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About the author (2004)

MARVIN RAUSAND is a Professor in the Department of Production and Quality Engineering at the Norwegian University of Science and Technology.

The late ARNLJOT HěYLAND, PhD, was a Professor in the Department of Mathematical Sciences at the Norwegian University of Science and Technology. Dr. H°yland died in December 2002 at the age of 78.

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