Risk Analysis in Engineering: Techniques, Tools, and TrendsCRC Press, 27.4.2016 - 424 sivua Based on the author's 20 years of teaching, Risk Analysis in Engineering: Techniques, Tools, and Trends presents an engineering approach to probabilistic risk analysis (PRA). It emphasizes methods for comprehensive PRA studies, including techniques for risk management. The author assumes little or no prior knowledge of risk analysis on the p |
Sisältö
| 1 | |
Elements of Risk Assessment | 13 |
Probabilistic Risk Assessment | 33 |
Performance Assessment Data and Modeling | 113 |
Uncertainty Analysis | 197 |
Identifying Ranking and Predicting Contributors to Risk | 241 |
Representation of Risk Values and Risk Acceptance Criteria | 275 |
Decision Making Techniques Using Risk Information | 303 |
Risk Communication | 333 |
Basic Reliability Mathematics Review of Probability and Statistics | 343 |
Appendix B | 376 |
Muita painoksia - Näytä kaikki
Risk Analysis in Engineering: Techniques, Tools, and Trends Mohammad Modarres Rajoitettu esikatselu - 2006 |
Yleiset termit ja lausekkeet
accidents applications approach Assume Bayesian beta distribution binomial distribution Boolean calculated complex component confidence interval consequence considered continuous random variable cost cut sets damage decision determine discussed evaluation event tree example expected exponential distribution factors fails failure events failure probability failure rate fatalities fault tree frequency function hardware hazard barrier hazard exposure human error human reliability importance measures initiating event involving likelihood function limit logic lognormal distribution loss method Monte Carlo normal normal distribution nuclear power plant number of failures observed occur operation output parameter performance point estimate Poisson distribution prior distribution probabilistic pump random variable reactor reduce reliability repair represents risk acceptance risk analysis risk assessment risk communication risk element risk management risk reduction risk value ROCOF safety sample statistical subsystem system failure Table techniques top event total risk uncertainties associated Weibull distribution