Engineering Reliability

Specificaties
Paperback, 219 blz. | Engels
Society for Industrial and Applied Mathematics | 1987
ISBN13: 9780898714050
Rubricering
Society for Industrial and Applied Mathematics e druk, 1987 9780898714050
Onderdeel van serie ASA-SIAM Series on S
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Samenvatting

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.

Specificaties

ISBN13:9780898714050
Taal:Engels
Bindwijze:Paperback
Aantal pagina's:219
Uitgever:Society for Industrial and Applied Mathematics

Inhoudsopgave

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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        Engineering Reliability