@inproceedings{oai:jaxa.repo.nii.ac.jp:00038820,
 author = {矢入, 健久 and 武石, 直也 and 秋元, 康佑 and 西村, 尚樹 and 中島, 佑太 and 高田, 昇 and Yairi, Takehisa and Takeishi, Naoya and Akimoto, Kosuke and Nishimura, Naoki and Nakajima, Yuta and Takata, Noboru},
 book = {第59回宇宙科学技術連合講演会講演集, Proceedings of 59th Space Sciences and Technology Conference},
 month = {Oct},
 note = {第59回宇宙科学技術連合講演会（2015年10月7日-9日. かごしま県民交流センター), 鹿児島市, 鹿児島, Authors have been studying health monitoring and anomaly detection methods for artificial satellites. So far, we have developed a monitoring method based on the probabilistic dimensionality reduction and clustering and have conducted a verification testing of this method by applying it to SDS-4 operation. This paper explains the lessons learned in this testing and introduces several plans of improving or complementing the proposed method., 形態: カラー図版あり, Physical characteristics: Original contains color illustrations, 資料番号: AC1600089000, レポート番号: JSASS-2015-4140},
 publisher = {日本航空宇宙学会(JSASS), The Japan Society for Aeronautical and Space Sciences (JSASS)},
 title = {SDS-4運用における学習型テレメトリ監視システムの性能向上検討(1): 手法と実装},
 year = {2015}
}