Alternative TitleOptical Experiments Prediction of the Quantum Science Experiment Satellite Based on Gradient Boosting Decision Tree
罗中凯; 李虎; 胡钛
Source Publication空间科学学报
Volume40Issue:1Pages:126-133; AR:0254-6124(2020)40:1<126:JYTDTS>2.0.TX;2-T
Keyword光学实验 遥测数据 机器学习 阈值 Optical experiment Telemetry data Machine learning Thresholds value
Other AbstractThe quantum science experimental satellite mainly carry out four kinds of optical experiments during the orbital operation.The ground monitoring personnel mainly judged whether the satellite carried out optical experiments,experimental types and experimental results through the telemetry parameter threshold.This method requires a large number of thresholds to be set in advance,which requires a lot of manpower,and these thresholds need to be reset according to the on-orbit satellite,and the scalability is poor.Aiming at the above problems,this paper proposes an optical experiment discriminating method based on machine learning.Firstly,the optical experiment monitoring task of quantum science experimental satellite is abstracted into a multi-classification problem in machine learning.A classification model is constructed,and then the quantum science experimental satellite is used.The real historical telemetry data is used to train the model,and finally the trained model is verified by the real experimental plan.The experimental results show that the proposed method can achieve 99% accurate accuracy without the expert prior knowledge,and can be used for real-time monitoring tasks of quantum science experimental satellite optical experiments.The machine learning-based discriminant method proposed in this paper has strong scalability and can be widely extended to other monitoring tasks of satellite orbit operation.
Indexed ByCSCD
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Document Type期刊论文
Affiliation1.罗中凯, 中国科学院国家空间科学中心
2.中国科学院大学, 北京
3.北京 100190
4.100049, 中国.
5.李虎, 中国科学院国家空间科学中心
6.中国科学院大学, 北京
7.北京 100190
8.100049, 中国.
9.胡钛, 中国科学院国家空间科学中心, 北京 100190, 中国.
10.Luo Zhongkai, National Space Science Center,Chinese Academy of Sciences
11.University of Chinese Academy of Sciences, Beijing
12.Beijing 100190
14.Li Hu, National Space Science Center,Chinese Academy of Sciences
15.University of Chinese Academy of Sciences, Beijing
16.Beijing 100190
18.Hu Tai, National Space Science Center,Chinese Academy of Sciences, Beijing 100190, China.
Recommended Citation
GB/T 7714
罗中凯,李虎,胡钛. 基于梯度提升决策树的量子科学实验卫星光学实验预测[J]. 空间科学学报,2020,40(1):126-133; AR:0254-6124(2020)40:1<126:JYTDTS>2.0.TX;2-T.
APA 罗中凯,李虎,&胡钛.(2020).基于梯度提升决策树的量子科学实验卫星光学实验预测.空间科学学报,40(1),126-133; AR:0254-6124(2020)40:1<126:JYTDTS>2.0.TX;2-T.
MLA 罗中凯,et al."基于梯度提升决策树的量子科学实验卫星光学实验预测".空间科学学报 40.1(2020):126-133; AR:0254-6124(2020)40:1<126:JYTDTS>2.0.TX;2-T.
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