System Reliability Assessment and Optimization: Methods and Applications (Hardcover)

Li, Yan-Fu, Zio, Enrico, Kleyner, Andre V.

  • 出版商: Wiley
  • 出版日期: 2022-06-07
  • 售價: $1,750
  • 貴賓價: 9.8$1,715
  • 語言: 英文
  • 頁數: 272
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1119265878
  • ISBN-13: 9781119265870
  • 下單後立即進貨 (約5~7天)


This book is a comprehensive overview of the recently developed methods for assessing and optimizing system reliability and safety. It consists of two main parts, for assessment and optimization methods, respectively. The former covers multi-state system modelling and reliability evaluation, Markov processes, Monte Carlo simulation and uncertainty treatments under poor knowledge. The reviewed methods range from piecewise-deterministic Markov process to belief functions. The latter covers mathematical programs, evolutionary algorithms, multi-objective optimization and optimization under uncertainty. The reviewed methods range from non-dominated sorting genetic algorithm to robust optimization. This book also includes the applications of the assessment and optimization method on real world cases, particularly for the reliability and safety of renewable energy systems. From this point of view, the book bridges the gap between theoretical development and engineering practice.


Yan-Fu Li is Full Professor at the Department of Industrial Engineering and Deputy-Director of the Institute for Quality & Reliability at Tsinghua University, China. He received his Ph.D in Industrial Engineering from National University of Singapore in 2010.

Enrico Zio is Full Professor at the Center for Research on Risks and Crises (CRC) of Ecole de Mines, ParisTech, PSL University, France, and at the Energy Department of Politecnico di Milano, Italy. He received his Ph.D in nuclear engineering from Politecnico di Milano and in Probabilistic Risk Assessment from MIT in 1996 and 1998, respectively.