This book focuses on the most salient and practical concepts and methods in reliability engineering. As a multidisciplinary field, reliability engineering spans science, engineering, and management. It introduces fundamental mathematical techniques to help readers grasp the underlying theory and, when necessary, develop their own methods. A significant portion of the book is dedicated to reliability analysis using probability and statistics, including some advanced statistical approaches. To aid comprehension of more complex techniques, simulation verification and demonstration are employed throughout.
The book also explores simulation methods for reliability analysis. Although relatively new, simulation is a highly effective and increasingly popular approach. It also covers the physics of certain failure mechanisms, which are closely tied to accelerated life testing - an essential practice in modern industry. Each chapter includes numerical examples to support hands-on practice and the application of the discussed methods.
Designed as a textbook for senior undergraduate and graduate students, the book also serves as a reference for researchers developing their own reliability methodologies. It includes detailed definitions and proofs of key mathematical and statistical theories to ensure the content is self-contained. For methods requiring programming, the book provides comprehensive algorithms to guide readers through implementation.
Introduction and concepts.- Reliability mathematics.- Essential elements
of statistics for reliability.- Statistical exponential distribution.-
Weibull distribution.-System reliability.- Reliability evaluation from
limit-state function.- Multivariate distribution for reliability dependency
analysis.- Proportional hazard model.- Reliability simulation.- Reliability
physics.- Acceleration life test.
Fuqing Yuan was a software engineer. In 2004, he accidentally encountered quality/reliability topics and unfortunately, he found it fascinating. Since then, he has devoted himself to this field. During this period, he obtained both his masters and Ph.D. degrees. Currently, he works as an associate professor at the University of Tromsø in Norway. Throughout his research on reliability, he has explored probability, statistics, optimization, numerical analysis, simulation, materials science, physics, signal processing, condition monitoring, sensor development, and machine learning. This multidisciplinary research has given him a broad and diverse knowledge base. This book represents part of the outcome of his work in the field. History is a continuous process, and reliability remains a persistent challenge in industry. It is his hope that this book helps students and researchers discover more effective and efficient methods for addressing reliability problem.
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