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Tools to Proactively Predict Failure
The prediction of failures involves uncertainty, and problems associated with failures are inherently probabilistic. Their solution requires optimal tools to analyze strength of evidence and understand failure events and processes to gauge confidence in a design's reliability.
Reliability Engineering and Risk Analysis: A Practical Guide, Second Edition has already introduced a generation of engineers to the practical methods and techniques used in reliability and risk studies applicable to numerous disciplines. Written for both practicing professionals and engineering students, this comprehensive overview of reliability and risk analysis techniques has been fully updated, expanded, and revised to meet current needs. It concentrates on reliability analysis of complex systems and their components and also presents basic risk analysis techniques. Since reliability analysis is a multi-disciplinary subject, the scope of this book applies to most engineering disciplines, and its content is primarily based on the materials used in undergraduate and graduate-level courses at the University of Maryland. This book has greatly benefited from its authors' industrial experience. It balances a mixture of basic theory and applications and presents a large number of examples to illustrate various technical subjects. A proven educational tool, this bestselling classic will serve anyone working on real-life failure analysis and prediction problems.
Review Quotes
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... explores the practical aspects of the application of theory rather than the derivation of theory. ... goes beyond statistical niceties and into the territory of dealing with real-world problems. The ultimate practical aspect of the book is the link between reliability and risk analysis. By dealing with these two subjects in one single volume, the authors illustrate the importance of building reliability of survival as the basis for risk analysis.
The arrangement of the topics is logical and concise. From the traditional introductory material to the review of reliability mathematics, the book provides information for readers who have never been exposed to reliability engineering. It then moves forward in complexity, with extensive coverage given to reliability subjects such as hardware and software reliability, reliability growth, and modeling and estimation techniques. The last chapter delves into a comprehensive discussion of risk analysis concepts and techniques. This is a v
