Reliability Engineering and Risk Analysis: A Practical Guide
CRC Press, Aug 24, 1999 - Technology & Engineering - 564 pages
An introduction and explanation of pragmatic methods and techniques for reliability and risk studies, and a discussion of their uses and limitations. It features computer software that illustrates numerous examples found in the book, offering to help engineers and students solve problems. There is a module on Bayesian estimation. The computer disk is written in Visual Basic and is compatible with Microsoft Excel spreadsheets.
Elements of Component Reliability
System Reliability Analysis
Reliability and Availability of Repairable Items
Selected Topics in Reliability Modeling
Selected Topics in Reliability Data Analysis
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applications Assume availability Bayes Bayesian beta distribution binomial binomial distribution Boolean calculate cause confidence interval confidence limits considered cut sets determine discussed E₂ equations evaluation event tree example expected exponential distribution fails failure mechanisms failure mode failure probability failure rate fault tree Figure FMEA frequency gamma distribution given hazard human error human reliability initiating events likelihood likelihood function lognormal distribution method MTTF n₁ n₂ normal distribution number of failures observed obtained occur operation P₁ parameter path sets percentile performance plot point estimate Poisson distribution posterior Pr(A Pr(E Pr(x prior distribution probabilistic procedure pumps random variable reliability analysis reliability function reliability model repairable systems represents ROCOF sample scenario Section Solution Statistical stress system failure system reliability t₁ t₂ Table time-to-failure distribution top event unavailability uncertainty units Weibull distribution
Page v - Human Resources Management, edited by Jill P Kern, John J. Riley, and Louis N. Jones 13. The Good and the Bad News About Quality, Edward M Schrock and Henry L. Lefevre 14. Engineering Design for Producibility and Reliability, John W Priest 15.
Page x - The modern approach to quality and reliability concerns excellence: excellence when the product is designed, excellence when the product is made, excellence as the product is used, and excellence throughout its lifetime. But excellence does not result without effort, and products and services of superior quality and reliability require an appropriate combination of statistical, engineering, management, and motivational effort. This effort can be directed for maximum benefit only in light of timely...
Page ix - It is a forum in which the subject matter of these various areas can be brought together to allow for effective integration of appropriate techniques. This will promote the true benefit of each, which can be achieved only through their interaction. In this sense, the whole of quality and reliability is greater than the sum of its parts, as each element augments the others. The contributors to this series have been encouraged to discuss fundamental concepts as well as methodology, technology, and...
Page v - E. Carr 34. Quality Control for Profit: Gaining the Competitive Edge. Third Edition, Revised and Expanded, Ronald H. Lester, Norbert L. Enrick, and Harry E. Mottley, Jr. 35. Probability and Its Applications for Engineers, David H. Evans 36. An Introduction to Quality Control for the Apparel Industry, Pradip V.
Page v - Defect Prevention: Use of Simple Statistical Tools, Victor E. Kane 18. Defect Prevention: Use of Simple Statistical Tools, Solutions Manual, Victor E. Kane 19. Purchasing and Quality, Max McRobb 20. Specification Writing and Management, Max McRobb 21 . Quality Function Deployment: A Practitioner's Approach, James L. Bossert 22. The Quality Promise, Lester Jay Wollschlaeger 23.
Page v - Rochester Institute of Technology Rochester, New York 1. Designing for Minimal Maintenance Expense: The Practical Application of Reliability and Maintainability, Marvin A. Moss 2. Quality Control for Profit, Second Edition, Revised and Expanded, Ronald H. Lester, Norbert L. Enrick, and Harry E. Mottley, Jr. 3. QCPAC: Statistical Quality Control on the IBM PC, Steven M.