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This paper presents a study of fault-detection measurement in redundant systems with an inertial measurement unit on the satellite. In order to deal with system noise, we use a Kalman filter and we employ backpropagation neural networks for fault detection. The simulation results of our measurement compare favourably with those of the SPRT and direct-compare approaches.
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on (Volume:2 )
Date of Conference: 2002