Overview
- Presents a novel integrated hybrid approach for fault diagnosis (FD) of nonlinear systems; taking advantage of both systems' mathematical model and the adaptive nonlinear approximation capability of computational intelligence techniques
- Simultaneously accomplishes fault detection, isolation, and identification (FDII) within a unified diagnostic module
- Presents fault detection, isolation, and identification (FDII) of reaction wheels of a 3-axis stabilized satellite in presence of disturbances and noise demonstrating effectiveness under both full and partial-state measurements
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 383)
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Table of contents (6 chapters)
Keywords
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Bibliographic Information
Book Title: Fault Diagnosis of Nonlinear Systems Using a Hybrid Approach
Authors: Ehsan Sobhani-Tehrani, Khashayar Khorasani
Series Title: Lecture Notes in Control and Information Sciences
DOI: https://doi.org/10.1007/978-0-387-92907-1
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag US 2009
Softcover ISBN: 978-0-387-92906-4Published: 22 June 2009
eBook ISBN: 978-0-387-92907-1Published: 06 June 2009
Series ISSN: 0170-8643
Series E-ISSN: 1610-7411
Edition Number: 1
Number of Pages: XX, 268
Number of Illustrations: 155 b/w illustrations
Topics: Vibration, Dynamical Systems, Control, Systems Theory, Control, Complex Systems, Statistical Physics and Dynamical Systems