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.

I. Overview of Non-probabilistic Approaches: What Non-deterministic Approaches Are and Why We Need Them. Industrial Perspective. Academic Perspective. II. Critical Issues and Recent Advances: Advances and Critical Issues. Theories of Uncertainty. Robust Reliability. Interval Arithmetic. Health Monitoring of Aircraft Engines. Stochastic Finite Elements. Experimental Comparisons of Methods for Design Under Uncertainty. Monte Carlo Stimulation. Efficient Reliability Assessment and