Dynamic System Reliability: Modeling and Analysis of Dynamic and Dependent Behaviors, Liudong Xing, Gregory Levitin, Chaonan Wang
Автор: Meeker William Q. Название: Statistical Methods for Reliability Data ISBN: 1118115457 ISBN-13(EAN): 9781118115459 Издательство: Wiley Рейтинг: Цена: 121390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
An authoritative guide to the most recent advances in statistical methods for quantifying reliability
Statistical Methods for Reliability Data, Second Edition (SMRD2) is an essential guide to the most widely used and recently developed statistical methods for reliability data analysis and reliability test planning. Written by three experts in the area, SMRD2 updates and extends the long- established statistical techniques and shows how to apply powerful graphical, numerical, and simulation-based methods to a range of applications in reliability. SMRD2 is a comprehensive resource that describes maximum likelihood and Bayesian methods for solving practical problems that arise in product reliability and similar areas of application. SMRD2 illustrates methods with numerous applications and all the data sets are available on the book's website. Also, SMRD2 contains an extensive collection of exercises that will enhance its use as a course textbook.
The SMRD2's website contains valuable resources, including R packages, Stan model codes, presentation slides, technical notes, information about commercial software for reliability data analysis, and csv files for the 93 data sets used in the book's examples and exercises. The importance of statistical methods in the area of engineering reliability continues to grow and SMRD2 offers an updated guide for, exploring, modeling, and drawing conclusions from reliability data.
SMRD2 features:
Contains a wealth of information on modern methods and techniques for reliability data analysis
Offers discussions on the practical problem-solving power of various Bayesian inference methods
Provides examples of Bayesian data analysis performed using the R interface to the Stan system based on Stan models that are available on the book's website
Includes helpful technical-problem and data-analysis exercise sets at the end of every chapter
Presents illustrative computer graphics that highlight data, results of analyses, and technical concepts
Written for engineers and statisticians in industry and academia, Statistical Methods for Reliability Data, Second Edition offers an authoritative guide to this important topic.
Автор: Rajesh Karki; Roy Billinton; Ajit Kumar Verma Название: Reliability Modeling and Analysis of Smart Power Systems ISBN: 8132229088 ISBN-13(EAN): 9788132229087 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The volume presents the research work in understanding, modeling and quantifying the risks associated with different ways of implementing smart grid technology in power systems in order to plan and operate a modern power system with an acceptable level of reliability.
Автор: Ranjan Vepa Название: Dynamic Modeling, Simulation and Control of Energy Generation ISBN: 1447169573 ISBN-13(EAN): 9781447169574 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book addresses the core issues involved in the dynamic modeling, simulation and control of a selection of energy systems such as gas turbines, wind turbines, fuel cells and batteries.
Название: Dynamic modeling, simulation and control of energy generation. ISBN: 1447153995 ISBN-13(EAN): 9781447153993 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book addresses the core issues involved in the dynamic modeling, simulation and control of a selection of energy systems such as gas turbines, wind turbines, fuel cells and batteries.
Название: Modeling and dynamic behaviour of hydropower plants ISBN: 178561195X ISBN-13(EAN): 9781785611957 Издательство: Неизвестно Рейтинг: Цена: 219940.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents a systematic approach to mathematical modeling of different configurations of hydropower plants over four sections - modeling and simulation approaches; control of hydropower plants; operation and scheduling of hydropower plants, including pumped storage; and special features of small hydropower plants.
Автор: Zio Название: Reliability Analysis, Safety Assessment and Optimi zation: Methods and Applications in Energy Systems and Other Applications ISBN: 1119265878 ISBN-13(EAN): 9781119265870 Издательство: Wiley Рейтинг: Цена: 86070.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 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.
Автор: McCool Название: Using the Weibull Distribution - Reliability, Modeling, and Inference ISBN: 1118217985 ISBN-13(EAN): 9781118217986 Издательство: Wiley Рейтинг: Цена: 116110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Understand and utilize the latest developments in Weibull inferential methods While the Weibull distribution is widely used in science and engineering, most engineers do not have the necessary statistical training to implement the methodology effectively.
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