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Engineering Reliability

Engineering Reliability

Engineering Reliability

Richard E. Barlow
January 1998
Paperback
9780898714050
AUD$140.00
inc GST
Paperback

    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.

    Product details

    January 1998
    Paperback
    9780898714050
    219 pages
    253 × 175 × 12 mm
    0.385kg
    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 .