Volume 36, Number 1, February 2018
|Page(s)||20 - 27|
|Published online||18 May 2018|
Spacecraft Anomaly Recognition Based on Morphological Variational Mode Decomposition and JRD
School of Astronautics, Northwestern Polytechnical University, Xi'an 710072, China
2 National Key Laboratory of Aerospace Flight Dynamics, Northwestern Polytechnical University, Xi'an 710072, China
Considering the difficulty in identifying the in-orbital spacecraft weak anomaly, a spacecraft anomaly state recognition method based on Morphological variational mode decomposition and JRD distance is proposed. First of all, the telemetry data of the spacecraft is decomposed into multi-scale modal functions with different frequencies via morphological variational modal decomposition. Then the Rényi entropy of each modal function is extracted, which is regarded as the feature of telemetry data. Finally, the recognition of spacecraft anomaly state is realized by comparing the JRD distance between the sample data and the measured data. The proposed method is verified by means of the telemetry data of the weak anomaly speed of a satellite reaction wheel. The simulation results demonstrate that the proposed method can effectively identify the anomaly of the spacecraft and has obvious advantage in recognition speed.
Key words: M-VMD / Rényi entropy / Jensen-Rényi divergence / anomaly recognition
关键字 : 形态变分模态分解 / Rényi熵 / JRD距离 / 异常识别
© 2018 Journal of Northwestern Polytechnical University. All rights reserved.
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