Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems [electronic resource] : From Analytical to Soft Computing Approaches / by Marcin Witczak.
Tipo de material: TextoSeries Lecture Notes in Control and Information Sciences ; 354 | Lecture Notes in Control and Information Sciences ; 354Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007Descripción: XV, 212 p. online resourceTipo de contenido:- text
- computer
- online resource
- 9783540711162
- SpringerLink (Online service)
- 629.8 23
- TJ210.2-211.495
- TJ163.12
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.
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.
ZDB-2-ENG
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