Transactions of Nanjing University of Aeronautics & Astronautics
Fault Detection Based on Incremental Locally Linear Embedding for Satellite TX-I
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Abstract:
A fault detection method based on incremental locally linear embedding (LLE) is presented to improve fault detecting accuracy for satellites with telemetry data. Since conventional LLE algorithm cannot handle incremental learning, an incremental LLE method is proposed to acquire lowdimensional feature embedded in highdimensional space. Then, telemetry data of Satellite TXI are analyzed. Therefore, fault detection are performed by analyzing feature information extracted from the telemetry data with the statistical indexes T2 and squared prediction error(SPE) and SPE. Simulation results verify the fault detection scheme.
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