Data-Driven Remaining Useful Life Prognosis Techniques: Stochastic Models, Methods and Applications, Si Xiao-Sheng, Zhang Zheng-Xin, Hu Chang-Hua
Автор: Liu Sifeng, Yang Yingjie, Forrest Jeffrey Название: Grey Data Analysis: Methods, Models and Applications ISBN: 9811094586 ISBN-13(EAN): 9789811094583 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Foreword.- Preface.- Chapter 1 Introduction to Grey System Theory.- Chapter 2 The Novel Framework of Grey System Theory.- Chapter 3 Grey Numbers and Their Operations.- Chapter 4 Sequence Operators and Grey Data Mining.- Chapter 5 Grey Incidence Analysis Models.- Chapter 6 Grey Cluster Evaluation Models.- Chapter 7 Series of GM Models.- Chapter 8 Combined Grey Models.- Chapter 9 Techniques for Grey System Forecasting.- Chapter 10 Grey Models for Decision-making.- Chapter 11 Techniques Grey Control.- Chapter 12 Introduction to the Software of Grey System Modelling.- References.- Index.
Описание: Probabilistic approach and stochastic simulation become more and more popular in all branches of science and technology, especially in problems where the data are randomly fluctuating, or they are highly irregular in deterministic sense.
Описание: Provides an algorithmic framework for numerical computation of many practical stochastic systems. This title summarizes important advances in computational study of stochastic models from several crucial directions, such as stationary computation, transient solution, asymptotic analysis, reward processes, decision processes, sensitivity analysis.
Автор: Ansgar Steland; Ewaryst Rafaj?owicz; Krzysztof Sza Название: Stochastic Models, Statistics and Their Applications ISBN: 3319138804 ISBN-13(EAN): 9783319138800 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Preliminary: Part I: Stochastic Models.- Part II: Statistics.- Part III: Applications.
Автор: Xiao-Sheng Si; Zheng-Xin Zhang; Chang-Hua Hu Название: Data-Driven Remaining Useful Life Prognosis Techniques ISBN: 3662540282 ISBN-13(EAN): 9783662540282 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces data-driven remaining useful life prognosis techniques, and shows how to utilize the condition monitoring data to predict the remaining useful life of stochastic degrading systems and to schedule maintenance and logistics plans.
Описание: This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management (PHM) in detail, first explaining the PHM design approach from a systems engineering perspective, then summarizing and elaborating on the data-driven methodology for feature construction, as well as feature-based fault diagnosis and prognosis.
Автор: Warren J. Gross; Vincent C. Gaudet Название: Stochastic Computing: Techniques and Applications ISBN: 3030037290 ISBN-13(EAN): 9783030037291 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers the history and recent developments of stochastic computing. Stochastic computing (SC) was first introduced in the 1960s for logic circuit design, but its origin can be traced back to von Neumann's work on probabilistic logic. In SC, real numbers are encoded by random binary bit streams, and information is carried on the statistics of the binary streams. SC offers advantages such as hardware simplicity and fault tolerance. Its promise in data processing has been shown in applications including neural computation, decoding of error-correcting codes, image processing, spectral transforms and reliability analysis.There are three main parts to this book. The first part, comprising Chapters 1 and 2, provides a history of the technical developments in stochastic computing and a tutorial overview of the field for both novice and seasoned stochastic computing researchers. In the second part, comprising Chapters 3 to 8, we review both well-established and emerging design approaches for stochastic computing systems, with a focus on accuracy, correlation, sequence generation, and synthesis. The last part, comprising Chapters 9 and 10, provides insights into applications in machine learning and error-control coding.
Автор: Nigel Thomas; Matthew Forshaw Название: Analytical and Stochastic Modelling Techniques and Applications ISBN: 3319614274 ISBN-13(EAN): 9783319614274 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 24th International Conference on Analytical and Stochastic Modelling Techniques and Applications, ASMTA 2017, held in Newcastle-upon-Tyne UK, in July 2017.The 14 full papers presented in this book were carefully reviewed and selected from 27 submissions.
Описание: Stochastic dominance is a fundamental concept used heavily in various fields of science such as economics, finance, insurance, medicine, and statistics. This book examines stochastic dominance in a unified framework, focusing on inferential methods and foundations. It will appeal to graduate students, academic researchers, and professionals.
Описание: This monograph is devoted to random walk based stochastic algorithms for solving high-dimensional boundary value problems of mathematical physics and chemistry. It includes Monte Carlo methods where the random walks live not only on the boundary, but also inside the domain. A variety of examples from capacitance calculations to electron dynamics in semiconductors are discussed to illustrate the viability of the approach.The book is written for mathematicians who work in the field of partial differential and integral equations, physicists and engineers dealing with computational methods and applied probability, for students and postgraduates studying mathematical physics and numerical mathematics. Contents: IntroductionRandom walk algorithms for solving integral equationsRandom walk-on-boundary algorithms for the Laplace equationWalk-on-boundary algorithms for the heat equationSpatial problems of elasticityVariants of the random walk on boundary for solving stationary potential problemsSplitting and survival probabilities in random walk methods and applicationsA random WOS-based KMC method for electron-hole recombinationsMonte Carlo methods for computing macromolecules properties and solving related problemsBibliography
Автор: Kurt Marti; Peter Kall Название: Stochastic Programming Methods and Technical Applications ISBN: 3540639241 ISBN-13(EAN): 9783540639244 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Optimization problems arising in practice usually contain several random parameters. The original problem with random parameters must be replaced by an appropriate deterministic substitute problem, and efficient numerical solution or approximation techniques have to be developed for those problems.
Автор: J.S. Byrnes; Kathryn A. Hargreaves; Karl Berry Название: Probabilistic and Stochastic Methods in Analysis, with Applications ISBN: 0792318048 ISBN-13(EAN): 9780792318040 Издательство: Springer Рейтинг: Цена: 65685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Contains three expositions on wavelets, frames and their applications. This book includes the relation between probability and partial differential equations, including probabilistic representations of solutions to elliptic and parabolic PDEs.
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