Chinese Space Science and Technology ›› 2022, Vol. 42 ›› Issue (1): 16-29.doi: 10.16708/j.cnki.1000-758X.2022.0002
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WANG Yakun, YANG Kaifei, ZHANG Jie, GUO Lifang, HAN Xiaodong, XING Chuan, WANG Rui
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Abstract: Reducing satellite failures and keeping satellites healthy in orbit are important issues in satellite design. In order to analyze the causes of satellite failures and explore the latest satellite failures detection methods, we first collected typical satellite fault cases in orbit from 2003 to 2021, and then performed statistical analysis and correlation analysis of satellite failures from different aspects, including the correlation between satellite platforms and satellite failures, and the relationship between satellite in-orbit time and satellite failures, etc. Finally, the artificial intelligence based satellite failures detection research was introduced, including the artificial intelligence based failures detection systems and methods as well as the time-series data failures detection research. This research can provide reference for future failure case analysis and failure detection system design of satellite.
Key words: in-orbit satellite, failure cases, failure statistical analysis, artificial intelligence, time-series data
WANG Yakun, YANG Kaifei, ZHANG Jie, GUO Lifang, HAN Xiaodong, XING Chuan, WANG Rui . Case study of inorbit satellite failures and artificial intelligence based failure detection[J]. Chinese Space Science and Technology, 2022, 42(1): 16-29.
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URL: https://journal26.magtechjournal.com/kjkxjs/EN/10.16708/j.cnki.1000-758X.2022.0002
https://journal26.magtechjournal.com/kjkxjs/EN/Y2022/V42/I1/16