@inproceedings{d598a1c527ce41a78558ccdd324bb20e,
title = "Data-based anomaly detection model for solar array power of in-orbit satellites",
abstract = "For unpredictable failures of in-orbit satellites, a databased anomaly detection method, which is based on normal historical telemetry data, is proposed to detect in-orbit anomaly with the real-Time telemetry data. Firstly, a solar array current prediction model is constructed based on the relationship between the satellite solar array and the sun angle meter. Moreover, a false alarm filtering strategy is applied to reduce the false alarm rate. Finally, the model is used in an in-orbit satellite failure case, and the experimental results indicate that the proposed method can timely and accurately identify the solar array output failure with little time delay.",
keywords = "Anomaly detection, Data-based model, Prediction, Satellite, Solar array",
author = "Guoyong Zhang and Fengning Han and Jun Zhou and Datong Liu",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016 ; Conference date: 19-10-2016 Through 21-10-2016",
year = "2017",
month = jan,
day = "16",
doi = "10.1109/PHM.2016.7819878",
language = "英语",
series = "Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Qiang Miao and Zhaojun Li and Zuo, \{Ming J.\} and Liudong Xing and Zhigang Tian",
booktitle = "Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016",
address = "美国",
}