Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems: From Analytical to Soft...

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Marcin Witczak

Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems

From Analytical to Soft Computing Approaches

Marcin Witczak

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English

Springer-Verlag Berlin and Heidelberg GmbH & Co. K
05 April 2007

Engineering measurement & calibration

Series: Lecture Notes in Control and Information Sciences

This monograph presents a variety of techniques that can be used for designing robust fault diagnosis schemes for non-linear systems. The introductory part of the book is of a tutorial value and can be perceived as a good starting point for the new-comers to this field. Subsequently, advanced robust observer structures are presented. Parameter estimation based techniques are discussed as well. A particular attention is drawn to experimental design for fault diagnosis. The book also presents a number of robust soft computing approaches utilizing evolutionary algorithms and neural networks. All approaches described in this book are illustrated by practical applications.

By: Marcin Witczak
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Country of Publication: Germany
Edition: 2007 ed.
Volume: 354
Dimensions: Height: 235mm, Width: 155mm, Spine: 13mm
Weight: 454g
ISBN: 9783540711148
ISBN 10: 3540711147
Series: Lecture Notes in Control and Information Sciences
Pages: 212
Publication Date: 05 April 2007
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

I. Principles of Fault Diagnosis.- Analytical Techniques-Based FDI.- Soft Computing-Based FDI.- II. State and Parameter Estimation Strategies.- State Estimation Techniques for FDI.- Parameter Estimation-Based FDI.- III. Soft Computing Strategies.- Evolutionary Algorithms.- Neural Networks.- Conclusions and Future Research Directions.

Reviews for Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems: From Analytical to Soft Computing Approaches

From the reviews: <p> The book treats a class of nonlinear discrete-time models for dynamical systems and presents further developments of the authora (TM)s research on nonlinear system identification and fault detection a ] . It is intended for researchers, engineers and advanced postgraduate students in control, computer science and related engineering fields. (Alexander V. Nazin, Mathematical Reviews, Issue 2008 d)