Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems : From Analytical to Soft Computing Approaches /
By: Witczak, Marcin [author.].
Contributor(s): SpringerLink (Online service).
Material type:
BookSeries: Lecture Notes in Control and Information Sciences: 354Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.Description: XV, 212 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540711162.Subject(s): Engineering | System theory | Control engineering | Robotics | Mechatronics | Engineering | Control, Robotics, Mechatronics | Systems Theory, ControlDDC classification: 629.8 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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E books
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PK Kelkar Library, IIT Kanpur | Available | EBK10098 |
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.
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