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

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.

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

Inhalt
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.