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Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis, Marcin Mrugalski


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Автор: Marcin Mrugalski
Название:  Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis
ISBN: 9783319032863
Издательство: Springer
Классификация:



ISBN-10: 3319032860
Обложка/Формат: Paperback
Страницы: 182
Вес: 0.30 кг.
Дата издания: 28.08.2015
Серия: Studies in Computational Intelligence
Язык: English
Размер: 234 x 156 x 11
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

The present book is devoted to problems of adaptation of artificial neural networks to robust fault diagnosis schemes. It presents neural networks-based modelling and estimation techniques used for designing robust fault diagnosis schemes for non-linear dynamic systems.

A part of the book focuses on fundamental issues such as architectures of dynamic neural networks, methods for designing of neural networks and fault diagnosis schemes as well as the importance of robustness. The book is of a tutorial value and can be perceived as a good starting point for the new-comers to this field. The book is also devoted to advanced schemes of description of neural model uncertainty. In particular, the methods of computation of neural networks uncertainty with robust parameter estimation are presented. Moreover, a novel approach for system identification with the state-space GMDH neural network is delivered.

All the concepts described in this book are illustrated by both simple academic illustrative examples and practical applications.




Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis

Автор: Marcin Mrugalski
Название: Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis
ISBN: 331901546X ISBN-13(EAN): 9783319015460
Издательство: Springer
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Цена: 19564.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Introduction.- Designing of dynamic neural networks.- Estimation methods in training of ANNs for robust fault diagnosis.- MLP in robust fault detection of static non-linear systems.- GMDH networks in robust fault detection of dynamic non-linear systems.- State-space GMDH networks for actuator robust FDI.

Fault Tolerant Control Schemes Using Integral Sliding Modes

Автор: Mirza Tariq Hamayun; Christopher Edwards; Halim Al
Название: Fault Tolerant Control Schemes Using Integral Sliding Modes
ISBN: 3319322362 ISBN-13(EAN): 9783319322360
Издательство: Springer
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Цена: 16979.00 р.
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Описание: The key attribute of a Fault Tolerant Control (FTC) system is its ability to maintain overall system stability and acceptable performance in the face of faults and failures within the feedback system.

Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques

Автор: Silvio Simani; Cesare Fantuzzi; Ron J. Patton
Название: Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques
ISBN: 1849968950 ISBN-13(EAN): 9781849968959
Издательство: Springer
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Цена: 19589.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Safety in industrial process and production plants is a concern of rising importance but because the control devices which are now exploited to improve the performance of industrial processes include both sophisticated digital system design techniques and complex hardware, there is a higher probability of failure.

Bond Graph Model-based Fault Diagnosis of Hybrid Systems

Автор: Wolfgang Borutzky
Название: Bond Graph Model-based Fault Diagnosis of Hybrid Systems
ISBN: 3319352261 ISBN-13(EAN): 9783319352268
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book presents bond graph model-based fault detection with a focus on hybrid system models. The book addresses model design, simulation, control and model-based fault diagnosis of multidisciplinary engineering systems. The text beings with a brief survey of the state-of-the-art, then focuses on hybrid systems.

Model-Based Fault Diagnosis Techniques

Автор: Steven X. Ding
Название: Model-Based Fault Diagnosis Techniques
ISBN: 1447161114 ISBN-13(EAN): 9781447161110
Издательство: Springer
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Цена: 23508.00 р.
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Описание: This book gives readers a framework of model-based FDI techniques, helping them to become familiar with the basic ideas and schemes in a systematic way. Examples and benchmarks provide a means of practising the ideas and judging the methods described.

Model-Based Fault Diagnosis Techniques

Автор: Ding Steven X
Название: Model-Based Fault Diagnosis Techniques
ISBN: 1447147987 ISBN-13(EAN): 9781447147985
Издательство: Springer
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Цена: 30745.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book gives readers a framework of model-based FDI techniques, helping them to become familiar with the basic ideas and schemes in a systematic way. Examples and benchmarks provide a means of practising the ideas and judging the methods described.

Fault Diagnosis and Fault-Tolerant Control Based on Adaptive Control Approach

Автор: Qikun Shen; Bin Jiang; Peng Shi
Название: Fault Diagnosis and Fault-Tolerant Control Based on Adaptive Control Approach
ISBN: 3319525298 ISBN-13(EAN): 9783319525297
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book provides recent theoretical developments in and practical applications of fault diagnosis and fault tolerant control for complex dynamical systems, including uncertain systems, linear and nonlinear systems.

Neural Network-Based State Estimation of Nonlinear Systems

Автор: Heidar A. Talebi; Farzaneh Abdollahi; Rajni V. Pat
Название: Neural Network-Based State Estimation of Nonlinear Systems
ISBN: 1441914374 ISBN-13(EAN): 9781441914378
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This text offers neural network schemes for state estimation, system identification and fault detection. It covers mathematical proof of stability, experimental evaluation, and robustness against unmolded dynamics, external disturbances and measurement noises.

Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB®

Автор: Zhang
Название: Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB®
ISBN: 3319323237 ISBN-13(EAN): 9783319323237
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book introduces several observer-based methods, including:• the sliding-mode observer• the adaptive observer• the unknown-input observer and• the descriptor observer methodfor the problem of fault detection, isolation and estimation, allowing readers to compare and contrast the different approaches. The authors present basic material on Lyapunov stability theory, H? control theory, sliding-mode control theory and linear matrix inequality problems in a self-contained and step-by-step manner. Detailed and rigorous mathematical proofs are provided for all the results developed in the text so that readers can quickly gain a good understanding of the material. MATLAB® and Simulink® codes for all the examples, which can be downloaded from http://extras.springer.com, enable students to follow the methods and illustrative examples easily. The systems used in the examples make the book highly relevant to real-world problems in industrial control engineering and include a seventh-order aircraft model, a single-link flexible joint robot arm and a satellite controller. To help readers quickly find the information they need and to improve readability, the individual chapters are written so as to be semi-independent of each other.Robust Oberserver-Based Fault Diagnosis for Nonlinear Systems Using MATLAB® is of interest to process, aerospace, robotics and control engineers, engineering students and researchers with a control engineering background.

Bond Graph Model-Based Fault Diagnosis of Hybrid Systems

Автор: Borutzky Wolfgang
Название: Bond Graph Model-Based Fault Diagnosis of Hybrid Systems
ISBN: 3319118595 ISBN-13(EAN): 9783319118598
Издательство: Springer
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Цена: 18284.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book presents bond graph model-based fault detection with a focus on hybrid system models. The book addresses model design, simulation, control and model-based fault diagnosis of multidisciplinary engineering systems. The text beings with a brief survey of the state-of-the-art, then focuses on hybrid systems.


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