System Reliability Assessment And Optimization
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System Reliability Assessment and Optimization
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.
System Reliability Assessment and Optimization
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.
Multi-state System Reliability
This book is the first to be devoted to multi-state system (MSS) reliability analysis and optimization. It contains a brief historical overview, presents the basic concepts of MSS, defines MSS reliability measures and systematically describes the tools for MSS reliability assessment and optimization. It offers a comprehensive, up-to-date presentation of MSS reliability theory based on the modern advantages in this field and provides a theoretical summary and examples of engineering applications to a variety of technical problems. The book is primarily addressed to practising reliability engineers and researchers with an interest in reliability and performability analysis. It can also be used as a textbook for senior undergraduate or graduate courses in several fields: industrial engineering, electrical engineering, mechanical engineering and applied mathematics.