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Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems [electronic resource] : From Analytical to Soft Computing Approaches / by Marcin Witczak.

Por: Tipo de material: TextoTextoSeries 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
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9783540711162
Trabajos contenidos:
  • SpringerLink (Online service)
Tema(s): Formatos físicos adicionales: Sin títuloClasificación CDD:
  • 629.8 23
Clasificación LoC:
  • TJ210.2-211.495
  • TJ163.12
Recursos en línea:
Contenidos:
Springer eBooksResumen: 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.
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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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