Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems [electronic resource] : From Analytical to Soft Computing Approaches / by Marcin Witczak.Material type: TextLanguage: English Series: Lecture Notes in Control and Information Sciences: 354Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007Description: XV, 212 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540711162Subject(s): Engineering | Systems theory | Control engineering systems | Engineering | Control , Robotics, Mechatronics | Systems Theory, ControlAdditional physical formats: Printed edition:: No titleDDC classification: 629.8 LOC classification: TJ210.2-211.495TJ163.12Online resources: Click here to access online
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.