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"System reliability, availability and robustness are often not well understood by system architects, engineers and developers. They often don't understand what drives customer's availability expectations, how to frame verifiable availability/robustness requirements, how to manage and budget availability/robustness, how to methodically architect and design systems that meet robustness requirements, and so on. The book takes a very pragmatic approach of framing reliability and robustness as a functional aspect of a system so that architects, designers, developers and testers can address it as a concrete, functional attribute of a system, rather than an abstract, non-functional notion"--Provided by publisher.
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Time-Dependent Reliability Theory and Its Applications introduces the theory of time-dependent reliability and presents methods to determine the reliability of structures over the lifespan of their services. The book contains state-of-the-art solutions to first passage probability derived from the theory of stochastic processes with different types of probability distribution functions, including Gaussian and non-Gaussian distributions and stationary and non-stationary processes. In addition, it provides various methods to determine the probability of failure over time, considering different failure modes and a methodology to predict the service life of structures. Sections also cover the applications of time-dependent reliability to prediction of service life and development of risk cost-optimized maintenance strategy for existing structures. This new book is for those who wants to know how to predict the service life of a structure (buildings, bridges, aircraft structures, etc.) and how to develop a risk-cost, optimized maintenance strategy for these structures.
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"Resilience Engineering: Models and Analysis was written for readers who have backgrounds in probability. It is suitable for practicing engineers, analysts, and researchers. The text presents a general examination of resilience analyses as applied to infrastructure and energy systems at a 'system of systems' level. The book offers a balanced mix of background, theory, and applications tailored for practitioners, along with examples to illustrate key computational algorithms, end-of-chapter exercises and references, and case studies"-- "Resilience Engineering: Models and Analysis was written for readers who have backgrounds in probability. It is suitable for practicing engineers, analysts, and researchers. The text presents a general look on resilience analyses as applied to infrastructure and energy systems at a "system of systems" level"--
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Machinery --- Reliability --- Congresses.
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Machinery --- Mechanical wear. --- Reliability.
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The latest tested and proven strategies to maintain business resiliency and sustainability for our ever-growing global digital economyHere is a comprehensive study of the fundamentals of mission critical systems, which are designed to maintain ultra-high reliability, availability, and resiliency of electrical, mechanical, and digital systems and eliminate costly downtime. Readers learn all the skills needed to design, fine tune, operate, and maintain mission critical equipment and systems. Practical in focus, the text helps readers configure and customize their designs to correspond to
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Reliability Modelling and Analysis in Discrete Time provides an overview of the probabilistic and statistical aspects connected with discrete reliability systems. This engaging book discusses their distributional properties and dependence structures before exploring various orderings associated between different reliability structures. Though clear explanations, multiple examples, and exhaustive coverage of the basic and advanced topics of research in this area, the work gives the reader a thorough understanding of the theory and concepts associated with discrete models and reliability structures. A comprehensive bibliography assists readers who are interested in further research and understanding. Requiring only an introductory understanding of statistics, this book offers valuable insight and coverage for students and researchers in Probability and Statistics, Electrical Engineering, and Reliability/Quality Engineering. The book also includes a comprehensive bibliography to assist readers seeking to delve deeper. Includes a valuable introduction to Reliability Theory before covering advanced topics of research and real world applications Features an emphasis on the mathematical theory of reliability modeling Provides many illustrative examples to foster reader understanding
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