System Reliability Assessment and Optimization

Name: System Reliability Assessment and Optimization
SKU: 28769874
Price: 195.00 NZD
Availability: InStock

Methods and Applications

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Format:

Hardback

Series:

Quality and Reliability Engineering Series

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Description

This book offers a comprehensive overview of recently developed methods for assessing and optimizing system reliability. It consists of two main parts, for treating assessment methods and optimization methods, respectively. The first part covers methods of multi-state system reliability modelling and evaluation, Markov processes, Monte Carlo simulation and uncertainty analysis. The methods considered range from piecewise-deterministic Markov processes to belief function analysis. The second part covers optimization methods of mathematical programming and evolutionary algorithms, and problems of multi-objective optimization and optimization under uncertainty. The methods of this part range from non-dominated sorting genetic algorithm to robust optimization. The book also includes the application of the assessment and optimization methods considered on real case studies, particularly with respect to the reliability assessment and optimization of renewable energy systems, and bridges the gap between theoretical method development and engineering practice.

Author Biography:

Yan-Fu Li is Full Professor at the Department of Industrial Engineering and the 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 Mines-Paris, PSL University, 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.

Release date NZ

August 4th, 2022

Author

Audience

Professional & Vocational

Contributor

Series edited by Andre Kleyner

Pages

272

Series

Quality and Reliability Engineering Series

Dimensions

170x244x21

ISBN-13

9781119265870

Product ID

28769874

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