Reliability and risk assessment

Mathematician Andrews and consulting engineer Moss explain reliability and risk analysis techniques for use in assessing the safety in modern process plants and their protective systems. The main probabilistic methods are described, particularly fault tree analysis, failure mode and effect analysis, and their derivatives. Case studies are presented to show how methods have been applied to the identification and quantification of risk and reliability of an undersea mine, steam generators, and a g as turbine system against specific performance requirements. Specific topics include reliability networks, common cause failures, Markov analysis, and simulation. Annotation copyrighted by Book News, Inc., Portland, OR.