Reliability Engineering and Risk Analysis: A Practical GuideAn 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. |
Contents
| 4 | |
| 21 | |
Elements of Component Reliability | 105 |
System Reliability Analysis | 197 |
Reliability and Availability of Repairable Items | 281 |
Selected Topics in Reliability Modeling | 333 |
Selected Topics in Reliability Data Analysis | 389 |
Risk Analysis | 461 |
Other editions - View all
Reliability Engineering and Risk Analysis: A Practical Guide Mohammad Modarres,Mark Kaminskiy,Vasiliy Krivtsov No preview available - 1999 |
Common terms and phrases
Assume availability Bayes Bayesian beta distribution binomial binomial distribution Boolean calculate component confidence interval confidence limits considered cut sets determine discussed E₁ 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 normal distribution nuclear number of failures observed obtained occur operation P₁ parameter path sets percentile performance plot point estimate Poisson Poisson distribution posterior Pr(A Pr(E Pr(x prior distribution probabilistic procedure pumps R₁ random variable reliability analysis reliability function reliability model 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 x₁
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