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

From Analytical to Soft Computing Approaches

AvMarcin Witczak

Häftad, Engelska, 2007

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2007-04-05
Mått:155 x 235 x 13 mm
Vikt:359 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Control and Information Sciences
Antal sidor:212
Upplaga:2007
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783540711148

Utforska kategorier

Teknik: allmänt inom Naturvetenskap och teknik

Recensioner i media

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)

Innehållsförteckning

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.