Engineering Design Reliability Handbook

A valuable addition to the reliability literature, this book presents the perspectives of experts from the industry, national labs, and academia on non-deterministic approaches including probabilistic, interval and fuzzy sets-based methods, generalized information theory, Dempster-Shaffer evidence theory, and robust reliability. It includes coverage of advances in all important fields of reliability design including modeling of uncertainty, reliability assessment of both static and dynamic components and systems, design decision making in the face of uncertainty, and reliability validation. The book also discusses documented success stories and quantifies the benefits of these approaches.
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Quality Control & Reliability
Mathematics & Statistics for Engineers
Reference
Professional