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

From Analytical to Soft Computing Approaches

  • Authors
  • Marcin Witczak

Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 354)

Table of contents

  1. Front Matter
  2. Introduction

    1. Marcin Witczak
      Pages 1-7
  3. Part I. Principles of Fault Diagnosis

    1. Front Matter
      Pages 9-9
    2. Marcin Witczak
      Pages 11-30
    3. Marcin Witczak
      Pages 31-46
  4. Part II. State and Parameter Estimation Strategies

    1. Front Matter
      Pages 47-47
    2. Marcin Witczak
      Pages 49-83
    3. Marcin Witczak
      Pages 85-101
  5. Part III. Soft Computing Strategies

    1. Front Matter
      Pages 103-103
    2. Marcin Witczak
      Pages 105-132
    3. Marcin Witczak
      Pages 133-183
    4. Marcin Witczak
      Pages 185-190
  6. Back Matter

About this book

Introduction

 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.

Keywords

Evolutionary Algorithms Experimental Design Modelling Non-Linear Systems Parameter Estimation Robust Fault Detection Robust Fault Diagnosis State Estimation algorithms neural networks

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-71116-2
  • Copyright Information Springer Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-71114-8
  • Online ISBN 978-3-540-71116-2
  • Series Print ISSN 0170-8643
  • Series Online ISSN 1610-7411
  • Buy this book on publisher's site