Книга " Importance Measures in Reliability, Risk, and Optimization. Principles and Applications" систематически описывает спектр мер значимости в областях надежности, сетей, риска, математического программирования и оптимизации. Авторы исследуют точные взаимосвязи между различными мерами значимости и описывают, как они моделируются и комбинируются с другими инструментами проектирования, чтобы пользователи могли решать многие реальные проблемы принятия решений масштаба промышленных систем. Книга представляет современные подходы к анализу сетей, многокомпонентных систем и их применение в современных системах, предлагая ясное и полное введение в эту тему. Описывая значение надежности и основы мер значимости, книга также охватывает более продвинутые темы, такие как подписи согласованных систем, многолинейные функции и новая интерпретация проблем математического программирования. Книга рассчитана на исследователей и практиков, заинтересованных в проектировании систем, надежности, риске и оптимизации, статистике, обслуживании, прогнозировании и операциях. Разработчики программного обеспечения, аналитики информационных технологий и инженеры по надежности и безопасности в ядерной, телекоммуникационной, морской и строительной отраслях также найдут книгу полезной.
This unique text systematically interprets the spectrum of important measures to offer a comprehensive oversight of your chart applications in fields like keenness, design, leverage, mathematical programming, and optimisation. Examining the accented relationship between various important measures, considered ways we represent them and mix them with different tools to enable discoverers to promptly handle several genuine, vast thinking issues. Particularly drawing from the expertise of network analysis and multifaceted systems, we offer a plain and full introduction to this topic. By describing the variable importance and also the fundamentals, we include intricate areas like symbolism of coherent frameworks and multifunctional functions, additionally a novel interpretation of mathematical programme challenges. Additionally crediting concepts back to important measures (like sensitivity and ne configura anaylsis, certainty analysis, mathematic scheme, design forms), authorifying chip readers to take a stab at standardise issues with inside parts fields expertly Includes a broad selection of crucial measures, consisting of those in unmistakeable coherent frameworks, unequivocal monotonic frameworks, multifaceted frameworks, distortion frameworks, fixable frameworks, together with important measures for couples and gatherings of edifices Illustrates numeric and practical appliations of important measure and the connected methods, incorporating superior review in nuclear fissure reactors, cloud capacity, soft flaw and even more Offers thorough exchanges, instances and instance studies on connections of distinctive important measures,with the final consequence grounded on the author’s own dischord Suggests keenness planning like redundancy allocation, define renovation and discrete granting.
Электронная Книга «Importance Measures in Reliability, Risk, and Optimization. Principles and Applications» написана автором Kuo Way в году.
Минимальный возраст читателя: 0
Язык: Английский
ISBN: 9781118304167
Описание книги от Kuo Way
This unique treatment systematically interprets a spectrum of importance measures to provide a comprehensive overview of their applications in the areas of reliability, network, risk, mathematical programming, and optimization. Investigating the precise relationships among various importance measures, it describes how they are modelled and combined with other design tools to allow users to solve readily many real-world, large-scale decision-making problems. Presenting the state-of-the-art in network analysis, multistate systems, and application in modern systems, this book offers a clear and complete introduction to the topic. Through describing the reliability importance and the fundamentals, it covers advanced topics such as signature of coherent systems, multi-linear functions, and new interpretation of the mathematical programming problems. Key highlights: Generalizes the concepts behind importance measures (such as sensitivity and perturbation analysis, uncertainty analysis, mathematical programming, network designs), enabling readers to address large-scale problems within various fields effectively Covers a large range of importance measures, including those in binary coherent systems, binary monotone systems, multistate systems, continuum systems, repairable systems, as well as importance measures of pairs and groups of components Demonstrates numerical and practical applications of importance measures and the related methodologies, including risk analysis in nuclear power plants, cloud computing, software reliability and more Provides thorough comparisons, examples and case studies on relations of different importance measures, with conclusive results based on the authors’ own research Describes reliability design such as redundancy allocation, system upgrading and component assignment. This book will benefit researchers and practitioners interested in systems design, reliability, risk and optimization, statistics, maintenance, prognostics and operations. Readers can develop feasible approaches to solving various open-ended problems in their research and practical work. Software developers, IT analysts and reliability and safety engineers in nuclear, telecommunications, offshore and civil industries will also find the book useful.
