Systems Engineering Consultants Co., LTD.
Systems Engineering Consultants Co., LTD.
Systems Engineering Consultants Co., LTD.
Systems Engineering Consultants Co., LTD.
Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency (JAXA)(ISAS)
Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency (JAXA)(ISAS)
Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency (JAXA)(ISAS)
Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency (JAXA)(ISAS)
出版者
宇宙航空研究開発機構(JAXA)
出版者（英）
Japan Aerospace Exploration Agency (JAXA)
雑誌名
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
雑誌名(英)
JAXA Research and Development Report: Journal of Space Science Informatics Japan: Volume 8
Safety and reliability of the spacecraft are very important. It is desirable to predict possible failures of a spacecraft in advance and to have an operational environment leading to accident prevention. By applying failure analysis utilizing machine learning technology to the operation data of a spacecraft, we accumulate techniques to detect defects beforehand and are doing research to contribute to stable operation of the spacecraft. We tried to detect a sign of failure of the power supply using operational data of the X-ray astronomical satellite 'Suzaku'. As a result, we suggest that it is possible to detect a sign of failure under certain conditions.
内容記述
形態: カラー図版あり
内容記述（英）
Physical characteristics: Original contains color illustrations
機械学習を用いた宇宙機の故障の予兆検知
AA1830035002.pdf
(1.21MB)
