Name
Title | ||
|---|---|---|
Incremental locally linear embedding-based fault detection for satellite attitude control systems |
Abstract | ||
|---|---|---|
This paper presents a novel fault detection method based on incremental locally linear embedding (I-LLE) to improve the accuracy of fault detection for a satellite with high-dimensional telemetry data. Firstly, the I-LLE algorithm is introduced, followed by an application on Satellite “TX-1” telemetry to extract the low-dimensional features, which can be used to perform fault detection with statistical indexes. A rapid semi-physical platform for satellite attitude control systems based on PC104 and AD7011-EVA is designed to perform fault simulation, because limited telemetry contains fewer fault patterns, which renders fault simulation for in-orbit satellites difficult. The I-LLE-based fault detection scheme is then employed to detect anomalies in simulation data. Simulation results presented in this paper validate the fault detection scheme. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.jfranklin.2015.09.017 | Journal of the Franklin Institute |
Field | DocType | Volume |
Satellite,Embedding,Satellite attitude control,Fault coverage,Fault detection and isolation,Telemetry,Real-time computing,Mathematics,Fault indicator | Journal | 353 |
Issue | ISSN | Citations |
1 | 0016-0032 | 5 |
PageRank | References | Authors |
0.46 | 7 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuehua Cheng | 1 | 46 | 5.76 |
| Bin Jiang | 2 | 2540 | 191.98 |
| Ningyun Lu | 3 | 49 | 11.81 |
| Tao Wang | 4 | 337 | 115.68 |
| Yan Xing | 5 | 43 | 15.82 |