Introduction.- Theoretical Basis.- Belief Reliability Metric.- Component Belief Reliability Modeling and Analysis.- System Belief Reliability Modelling and Analysis.- Belief Reliability Design and Optimization.- Application of Belief Reliability Theory in Accelerated Degradation Testing.- Summary and Prospects.
Rui Kang is Professor and Ph.D. Supervisor as well as Chief Engineer and Chair of the Academic Committee of the School of Reliability and Systems Engineering of Beihang University. He received his bachelor’s degree and master’s degree from Beihang University in 1987 and 1990, respectively. He was selected as Distinguished Professor of the Chang Jiang Scholars Program. Prof. Kang mainly researches on the theory and technology of reliability system engineering, reliability design and test theory and methods of highly reliable and long-life products, comprehensive equipment support theory and technology and modeling and evaluation technology of cyber-physical system reliability. He has published EIGHT monographs, two translations and two Beijing quality teaching materials. He presided over the development of a set of national military standard and published over 300 academic papers, over 30 of which was in journals indexed by SCI. He has won a second prize of the National Science and Technology Progress Award and seven provincial and ministry-level science and technology progress awards and obtained 18 invention patents. At present, he is Vice chairman of Academic Committee of China Association for Quality,Chief Scientist of Basic Research of Prognostics and Health Management Technology of China Nuclear Science Challenge Program,, Director of the Academic Committee of the National Key Laboratory of Reliability and Environmental Engineering Technology, Chief Editor of Reliability Engineering and Editor of Acta Aeronautica et Astronautica Sinica.
This book, from the perspective of reliability science construction, proposes a new theory called BELIEF RELIABILITY theory on the basis of probability theory, uncertainty theory and chance theory. The main topics include the philosophical basis of reliability science, the principles of reliability science, the criteria of reasonable reliability metrics and the basic theoretical framework and methodology of belief reliability theory. In this book, the belief reliability metric, analysis, design and evaluation methods will provide readers with a brand-new perspective on reliability applications and uncertainty quantification.