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Performance Degradation Analysis Method Using Satellite Telemetry Big Data

机译:卫星遥测大数据的性能劣化分析方法

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Satellites have features of high control integration, various working modes, and complex telemetry big data, which make it difficult to evaluate their performance degradation. In this paper, a novel data mining analysis method is proposed to analyze the satellite's telemetry big data, in which sample entropy is calculated to characterize states and the support vector data description is utilized to analyze the satellite performance degradation process. The experimental results show that our proposed method could generally describe the performance degradation process of satellites. Meanwhile, it also provides an important approach for the ground-station-monitor to analyze the performance of satellites.
机译:卫星具有高控制集成,各种工作模式和复杂的遥测大数据的特点,这使得难以评估其性能下降。在本文中,提出了一种新的数据挖掘分析方法来分析卫星遥测大数据,其中计算示例熵以表征状态,并且利用支持向量数据描述来分析卫星性能下降过程。实验结果表明,我们所提出的方法通常可以描述卫星的性能下降过程。同时,它还为地站监视器提供了一种重要的方法来分析卫星的性能。

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