Model-Based Fault Diagnosis Techniques, Steven X. Ding

Автор: Manuel Barros; Jorge Guilherme; Nuno Horta
Название: Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques
ISBN: 3642263232 ISBN-13(EAN): 9783642263231
Издательство: Springer
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Цена: 158380.00 T
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Описание: Transistor-level design for complex mixed-signal systems-on-chip remains difficult to automate. This book shows how a modified genetic algorithm kernel can improve efficiency in the analog IC design cycle and includes a worked example of the method.

Автор: Ding Steven X
Название: Model-Based Fault Diagnosis Techniques
ISBN: 1447147987 ISBN-13(EAN): 9781447147985
Издательство: Springer
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Цена: 204970.00 T
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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.

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: 130590.00 T
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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.

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: 104480.00 T
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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.

Автор: Ke Zhang; Bin Jiang; Peng Shi; Vincent Cocquempot
Название: Observer-Based Fault Estimation Techniques
ISBN: 3319674919 ISBN-13(EAN): 9783319674919
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book investigates observer-fault estimation techniques in detail, while also highlighting recent research and findings regarding fault estimation. In turn, fault isolation is used to identify the location of the faulty component, while fault estimation is used to identify the size of the fault online.

Автор: Kunihiko Ichikawa
Название: Control System Design based on Exact Model Matching Techniques
ISBN: 3540157727 ISBN-13(EAN): 9783540157724
Издательство: Springer
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Цена: 95770.00 T
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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: 130430.00 T
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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.

Автор: Marcin Mrugalski
Название: Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis
ISBN: 3319032860 ISBN-13(EAN): 9783319032863
Издательство: Springer
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Цена: 95770.00 T
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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.

Автор: Daniel Weiskopf
Название: GPU-Based Interactive Visualization Techniques
ISBN: 3642446051 ISBN-13(EAN): 9783642446054
Издательство: Springer
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Цена: 153720.00 T
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Описание: High performance is demonstrated as a process of devising algorithms for the fast graphics processing units (GPUs) of modern graphics hardware. Coverage includes parallelization on cluster computers with several GPUs, adaptive rendering methods, and non-photorealistic rendering techniques for visualization.

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: 121890.00 T
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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.

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: 111790.00 T
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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.

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: 130430.00 T
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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.