Автор: Meeker William Q. Название: Statistical Methods for Reliability Data ISBN: 1118115457 ISBN-13(EAN): 9781118115459 Издательство: Wiley Рейтинг: Цена: 18513 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book improves Meeker and Escobar (1998, Wiley) not only in terms of organization and presentation, but also in extensions and modifications to the technical material. It presents state-of-the-art, computer-based statistical methods for reliability data analysis and for test planning of industrial products. It also improves long time established techniques as it demonstrates how to apply the new graphical, numerical, or simulation-based methods to a broad range of models encountered in reliability data analysis. Bayesian methods in solving practical problems (e.g. models involving random effects or censoring that arises in reliability studies) are now incorporated where appropriate; the computations are done with WinBUGS. Ample exercises that extend and strengthen the concepts in the book are included. The criterion for integrating material in the book is that the authors have in-hand or have seen real applications for the methodology. The book is specifically geared for a one-semester course on the topic in either a statistics or engineering department at either the upper-undergraduate or beginning graduate levels. R functions and subroutines, along with an extensive list of data sets, are included on a massive web site that is meticulously maintained by the authors.
Описание: Recent advances in science and technology have made modern computing and engineering systems more powerful and sophisticated than ever. The increasing complexity and scale imply that system reliability problems not only continue to be a challenge but also require more efficient models and solutions. This is the first book systematically covering the state-of-the-art binary decision diagrams and their extended models, which can provide efficient and exact solutions to reliability analysis of large and complex systems. The book provides both basic concepts and detailed algorithms for modelling and evaluating reliability of a wide range of complex systems, such as multi-state systems, phased-mission systems, fault-tolerant systems with imperfect fault coverage, systems with common-cause failures, systems with disjoint failures, and systems with functional dependent failures. These types of systems abound in safety-critical or mission-critical applications such as aerospace, circuits, power systems, medical systems, telecommunication systems, transmission systems, traffic light systems, data storage systems, and etc.
The book provides both small-scale illustrative examples and large-scale benchmark examples to demonstrate broad applications and advantages of different decision diagrams based methods for complex system reliability analysis. Other measures including component importance and failure frequency are also covered. A rich set of references is cited in the book, providing helpful resources for readers to pursue further research and study of the topics. The target audience of the book is reliability and safety engineers or researchers.
The book can serve as a textbook on system reliability analysis. It can also serve as a tutorial and reference book on decision diagrams, multi-state systems, phased-mission systems, and imperfect fault coverage models.
Автор: Iulian Munteanu; Antoneta Iuliana Bratcu; Nicolaos Название: Optimal Control of Wind Energy Systems ISBN: 1849967245 ISBN-13(EAN): 9781849967242 Издательство: Springer Рейтинг: Цена: 28956 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Covering all aspects of this important topic, this work presents a review of the main control issues in wind power generation, offering a unified picture of the issues surrounding its optimal control.
Описание: As our title reveals, we focus on optimal control methods and applications relevant to linear dynamic economic systems in discrete-time variables.
Автор: Noorossana, Rassoul Saghaei, Abbas Amiri, Amirhoss Название: Statistical analysis of profile monitoring ISBN: 0470903228 ISBN-13(EAN): 9780470903223 Издательство: Wiley Рейтинг: Цена: 18876 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: * This is the first book of its kind on the subject. It is written by experts in the field (such as J.D. Williams of General Electric Global Research, Jeffrey B. Birch at VPI, and Longcheen Huwang of the Institute of Statistics at Tsing Hua University Hsin Chu). It is current and presents state-of-the-art materials.
Описание: Wind Energy Systems:Modeling, Analysis and Control with DFIG provides key information on machine/converter modelling strategies based on space vectors, complex vector, and further frequency-domain variables. It includes applications that focus on wind energy grid integration, with analysis and control explanations with examples. For those working in the field of wind energy integration examining the potential risk of stability is key, this edition looks at how wind energy is modelled, what kind of control systems are adopted, how it interacts with the grid, as well as suitable study approaches. Not only giving principles behind the dynamics of wind energy grid integration system, but also examining different strategies for analysis, such as frequency-domain-based and state-space-based approaches.
Описание: "Petri Net Synthesis for Discrete Event Control of Manufacturing Systems" develops two essential resource-sharing concepts: parallel and sequential mutual
exclusions and theoretical results in Petri synthesis. A parallel mutual exclusion (PME) is defined to model a resource shared by independent distributed processes, and a sequential
mutual exclusion is a sequential composition of PMEs, modeling a resource shared by sequentially-related processes. A hybrid synthesis methodology for Petri net models and controllers
is proposed using top-down, modular, and bottom-up design ideas and the mutual exclusion theory.
An aggregate Petri net model is refined by replacing places and /or
transitions with basic design modules which are mathematically and graphically described.Petri net design methods are presented for such buffers as automatic storage and retrieval
systems. Using the proposed method synthesizes both Petri net structure and feasible initial markings, guaranteeing that resulting Petri nets have desirabl
system properties such as freedom from deadlock and cyclic behavior. A Petri net controller is extended to error recovery for automated manufacturing systems.
The theory
can guarantee that the desired system properties achieved by the original design will be preserved when the controller is augmented to deal with an error in the prescribed methods.
Control code has been directly generated from Petri net definitions. The algorithm and implementation details are given for a flexible manufacturing system.
Using the approach
presented in "Petri Net Synthesis for Discrete Event Control of Manufacturing Systems", engineers and research workers can develop their own discrete event control applications and
experiments.
Автор: O. Maimon; E. Khmelnitsky; K. Kogan Название: Optimal Flow Control in Manufacturing Systems ISBN: 0792351061 ISBN-13(EAN): 9780792351061 Издательство: Springer Рейтинг: Цена: 31919 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a unified optimal control approach to a large class of problems arising in the field of production planning and scheduling. This book also introduces the reader to analytical and numerical methods of the maximum principle, used here as a mathematical instrument in modeling and solving production planning and scheduling problems.
Автор: O. Maimon; E. Khmelnitsky; K. Kogan Название: Optimal Flow Control in Manufacturing Systems ISBN: 144194799X ISBN-13(EAN): 9781441947994 Издательство: Springer Рейтинг: Цена: 30530 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a unified optimal control approach to a large class of problems arising in the field of production planning and scheduling. This book also introduces the reader to analytical and numerical methods of the maximum principle, used here as a mathematical instrument in modeling and solving production planning and scheduling problems.
Автор: Serletis Apostolos Название: Quantitative And Empirical Analysis Of Energy Markets ISBN: 9813203382 ISBN-13(EAN): 9789813203389 Издательство: World Scientific Publishing Цена: 8677 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Bringing together leading-edge research and innovative energy markets econometrics, this book collects the author's most important recent contributions in energy economics. In particular, the book:
- applies recent advances in the field of applied econometrics to investigate a number of issues regarding energy markets, including the theory of storage and the efficient markets hypothesis
- presents the basic stylized facts on energy price movements using correlation analysis, causality tests, integration theory, cointegration theory, as well as recently developed procedures for testing for shared and codependent cycles
- uses recent advances in the financial econometrics literature to model time-varying returns and volatility in energy prices and to test for causal relationships between energy prices and their volatilities
- explores the functioning of electricity markets and applies conventional models of time series analysis to investigate a number of issues regarding wholesale power prices in the western North American markets
- applies tools from statistics and dynamical systems theory to test for nonlinear dynamics and deterministic chaos in a number of North American hydrocarbon markets (those of ethane, propane, normal butane, iso-butane, naptha, crude oil, and natural gas)
Автор: Serletis Apostolos Название: Quantitative and Empirical Analysis of Energy Markets ISBN: 9814436216 ISBN-13(EAN): 9789814436212 Издательство: World Scientific Publishing Рейтинг: Цена: 18439 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The revised edition of this book captures new developments in economics and finance. Turning its focus towards the application of Engle's (1982) autoregressive conditional heteroscedasticity (ARCH) in cutting-edge research and a discussion of whether energy prices reflect long memory, this book will keep readers up-to-date with current developments in the literature. It presents twenty-one empirical studies of econometric time series analysis of crude oil, natural gas and electricity markets in face of the rapidly changing dynamics of the energy markets. Amongst them, several studies employ nonlinear time series methods, unlike the standard linear approach commonly used, to reflect the nonlinear nature of the economic system.
Two new chapters are included, extending beyond the leading-edge research and innovative energy markets econometrics detailed in the first edition: Chapter 17 examines the effects of oil price changes and speculations on economic activity and Chapter 20 re-evaluates empirical evidence for random walk type behavior in energy futures prices using a statistical physics approach.
Название: Quantitative and empirical analysis of energy markets ISBN: 9812704744 ISBN-13(EAN): 9789812704740 Издательство: World Scientific Publishing Рейтинг: Цена: 20427 р. Наличие на складе: Поставка под заказ.
Описание: Bringing together research and energy markets econometrics, this book collects the author`s contributions in energy economics. It particularly applies advances in the field of applied econometrics to investigate a number of issues regarding energy markets, including the theory of storage and the efficient markets hypothesis.
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