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文書・図像類

機械学習を用いた宇宙機の故障の予兆検知

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機械学習を用いた宇宙機の故障の予兆検知

Material type
文書・図像類
Author
梅津, 里香ほか
Publisher
宇宙航空研究開発機構(JAXA)
Publication date
2019-03-08
Material Format
Digital
Capacity, size, etc.
-
NDC
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Notes on use

Note (General):

宇宙機は安全性や信頼性が厳しく問われ, 未然に危険を予知し, 事故防止に繋げる運用環境が望まれる. 宇宙機の運用データに機械学習の技術を適用して故障解析を行い, 不具合を未然に検知する技術を蓄積し, 安定した宇宙機運用に資するための研究を行っている. X線天文衛星「すざく」の運用データを用いた電源系...

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Digital

Material Type
文書・図像類
Author/Editor
梅津, 里香
杉江, 卓哉
長瀬, 雅之
湖海, 亮
竹島, 敏明
海老沢, 研
満田, 和久
山本, 幸生
Umezu, Rika
Sugie, Takuya
Nagase, Masayuki
Kokai, Ryo
Takeshima, Toshiaki
Ebisawa, Ken
Mitsuda, Kazuhisa
Yamamoto, Yukio
Publication, Distribution, etc.
Publication Date
2019-03-08
Publication Date (W3CDTF)
2019-03-08
Alternative Title
Detection of failure sign of spacecraft using machine learning
Periodical title
宇宙航空研究開発機構研究開発報告: 宇宙科学情報解析論文誌: 第8号 = JAXA Research and Development Report: Journal of Space Science Informatics Japan: Volume 8
No. or year of volume/issue
JAXA-RR-18-008