DocumentCode
381062
Title
The research of fault-detection measure in the redundant system with inertial measurement unit on the satellite
Author
Shao, Xiaowei ; Shao, Changsheng
Author_Institution
Dept. of Control Eng., Harbin Inst. of Technol., China
Volume
2
fYear
2002
fDate
2002
Firstpage
1578
Abstract
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.
Keywords
Kalman filters; backpropagation; fault diagnosis; inertial systems; redundancy; Kalman filter; backpropagation neural networks; fault detection; inertial measurement unit; redundant system; satellite; system noise characteristics; Automation; Intelligent control; Measurement units; Neural networks; Noise measurement; Satellites;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN
0-7803-7268-9
Type
conf
DOI
10.1109/WCICA.2002.1020852
Filename
1020852
Link To Document