Skip to main content
Book cover

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

From Analytical to Soft Computing Approaches

  • Book
  • © 2007

Overview

  • Presents an introduction to fault diagnosis of non-linear systems using analytical and soft computing techniques
  • All techniques are presented in a unified framework - starting from the advanced state estimation strategies through theparameter estimation techniques up to modern soft computing
  • The introductory part of the book is of a tutorial value and a good starting point for the new-comers to this field
  • All approaches described in this book are illustrated by practical applications

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

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (8 chapters)

  1. Introduction

  2. Part I. Principles of Fault Diagnosis

  3. Part II. State and Parameter Estimation Strategies

  4. Part III. Soft Computing Strategies

Keywords

About this book

 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.

Reviews

From the reviews:

"The book treats a class of nonlinear discrete-time models for dynamical systems and presents further developments of the author’s research on nonlinear system identification and fault detection … . 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)

Bibliographic Information

  • Book Title: Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems

  • Book Subtitle: From Analytical to Soft Computing Approaches

  • Authors: Marcin Witczak

  • Series Title: Lecture Notes in Control and Information Sciences

  • DOI: https://doi.org/10.1007/978-3-540-71116-2

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2007

  • Softcover ISBN: 978-3-540-71114-8Published: 05 April 2007

  • eBook ISBN: 978-3-540-71116-2Published: 08 July 2007

  • Series ISSN: 0170-8643

  • Series E-ISSN: 1610-7411

  • Edition Number: 1

  • Number of Pages: XV, 212

  • Topics: Control, Robotics, Mechatronics, Systems Theory, Control

Publish with us