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A Fault Detection Method of Redundant IMU Using Modified Principal Component Analysis
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 Title & Authors
A Fault Detection Method of Redundant IMU Using Modified Principal Component Analysis
Lee, Won-Hee; Park, Chan-Gook;
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A fault detection process is necessary for high integrity systems like satellites, missiles and aircrafts. Especially, the satellite has to be expected to detect faults autonomously because it cannot be fixed by an expert in the space. Faults can cause critical errors to the entire system and the satellite does not have sufficient computation power to operate a large scale fault management system. Thus, a fault detection method, which has less computational burden, is required. In this paper, we proposed a modified PCA (Principal Component Analysis) as a powerful fault detection method of redundant IMU (Inertial Measurement Unit). The proposed method combines PCA with the parity space approach and it is much more efficient than the others. The proposed fault detection algorithm, modified PCA, is shown to outperform fault detection through a simulation example.
FDI;Inertial Sensor;Redundant IMU;PCA;Parity Space;
 Cited by
다중 원추형으로 배치된 관성센서의 FDI 성능 분석,김현진;송진우;강철우;박찬국;

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