Engineering Reliability
£65.00
Part of ASA-SIAM Series on Statistics and Applied Probability
- Author: Richard E. Barlow
- Date Published: January 1998
- availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
- format: Paperback
- isbn: 9780898714050
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Paperback
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Engineering reliability concerns failure data analysis, the economics of maintenance policies, and system reliability. This textbook develops the use of probability and statistics in engineering reliability and maintenance problems. The author uses probability models in the analysis of failure data, decisions relative to planned maintenance, and prediction relative to preliminary design. Some of the outstanding features include the analysis of failure data for both continuous and discrete probability from a finite population perspective, probability models derived from engineering considerations, an introduction to influence diagrams and decision making, and use of the operational Bayesian approach. The approach is fresh and interesting; it is motivated from problems in engineering and physical sciences and uses examples to illustrate the methodology. These examples, along with the use of real failure time data, will help the reader apply the techniques to real industrial situations.
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×Product details
- Date Published: January 1998
- format: Paperback
- isbn: 9780898714050
- length: 219 pages
- dimensions: 253 x 175 x 12 mm
- weight: 0.385kg
- availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
Table of Contents
Preface
Acknowledgements
Introduction
Part I. Failure Data Analysis
1. The Finite Population Exponential Model
2. Lifetime Data Analysis
3. Counting the Number of Failures
4*. Strength of Materials
Part II. The Economics of Maintenance Decisions
5. The Economics of Maintenance and Inspection
Part III. System Reliability
6. Network Reliability
7. System Failure Analysis. Fault Trees
8. System Availability and Maintainability
9*. Influence Diagrams
10. Making Decisions Using Influence Diagrams
Appendix A. Classical Statistics Is Logically Untenable
Appendix B. Bayesian Decision Analysis Is Self-Consistent
References
Index .
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