DocumentCode :
2547085
Title :
Neural Parameter Estimators for hybrid fault diagnosis and estimation in nonlinear systems
Author :
Sobhani-Tehrani, E. ; Talebi, H.A. ; Khorasani, K.
Author_Institution :
Concordia Univ., Montreal
fYear :
2007
fDate :
7-10 Oct. 2007
Firstpage :
3171
Lastpage :
3176
Abstract :
This paper presents a novel hybrid fault diagnosis approach to detect and estimate component faults in general nonlinear systems with full-state measurement. Unlike most existing fault diagnosis techniques, the proposed solution provides an integrated framework to simultaneously detect, isolate, and estimate the severity of faults in system components. The proposed solution consists of a bank of adaptive Neural Parameter Estimators (NPE) where each NPE in the bank is designed based on a separate parameterized fault model. Each NPE in the bank estimates its corresponding unknown Fault Parameter (FP) that is further used for fault detection and estimation purposes. Fast convergence and simple isolation policy are among the characteristic features of our proposed solution. Static neural network architecture and simple weight adaptation laws also make the proposed technique appropriate for real-time implementations. Simulation results reveal the effectiveness of the developed scheme in detecting, isolating and estimating faults in components of reaction wheel actuators of a 3-axis stabilized satellite even in presence of satellite disturbances.
Keywords :
actuators; aerospace computing; artificial satellites; fault diagnosis; neural nets; nonlinear systems; parameter estimation; 3-axis stabilized satellite; component faults; fault detection; fault diagnosis; fault estimation; neural parameter estimators; nonlinear systems; reaction wheel actuators; satellite disturbances; simple isolation policy; simple weight adaptation laws; static neural network architecture; Control systems; Fault detection; Fault diagnosis; Life estimation; Mathematical model; Neural networks; Nonlinear dynamical systems; Nonlinear systems; Parameter estimation; Satellites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-0990-7
Electronic_ISBN :
978-1-4244-0991-4
Type :
conf
DOI :
10.1109/ICSMC.2007.4414031
Filename :
4414031
Link To Document :
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