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Contains a computer disk written in Visual Basic and compatible with Microsoft Excel spreadsheets—a powerful tool for analyzing reliability data!
This convenient, lucid reference/text introduces and explains pragmatic methods and techniques for reliability and risk studies, and discusses their uses and their limitations rather than merely demonstrating logical derivations.
Features computer software that illustrates numerous examples found in the book, helping engineers and students solve problems, and providing the first-of-its-kind module on Bayesian estimation!
Designed as an accessible learning tool and an excellent resource for real-world applications of reliability engineering and probabilistic risk assessment, Reliability Engineering and Risk Analysis
elaborates on a promising new topic in risk analysis—Accident Precursor Analysis
demonstrates the Bayesian estimation procedures using conjugate and nonconjugate prior distributions
covers important areas of reliability engineering including FMEA, human reliability, fault tree analysis, and uncertainty analysis
introduces component reliability as the "building blocks" of engineering systems
examines reliability of complex systems containing interacting components
discusses the concept of uncertainty, sources of uncertainty, parameter uncertainty, and model uncertainty
considers probabilistic methods for propagating parameter uncertainties in engineering systems
analyzes accelerated life-testing methods
gives examples clarifying the uses of reliability and risk modeling and data analysis methods
presents helpful end-of-chapter exercises based on practical problems developed over the last 15 years
and more!
