33rd International Symposium on Space Technology and Science, 10th Nano-Satellite Symposium & 14th IAA Low-Cost Planetary Missions Conference

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Oral Session

f) Small Satellite : Joint session with NSAT

[F-10] Operations Automation and Optimization

Thu. Mar 3, 2022 4:00 PM - 5:40 PM Rehearsal Room (BF1)

Chair:Junichi Kurihara(Hokkaido University), Toshinori Kuwahara(Tohoku University)

4:40 PM - 5:00 PM

[2022-f-44] Comparison Study of Machine Learning Methods for CubeSat Anomaly Detection

*Adolfo Jara1, Bramandika Holy Bagas Pangestu1, Akitoshi Hanazawa1, Mengu Cho1 (1. Kyushu Institute of Technology. Department of Engineering)

Keywords:anomaly detection, machine learning, CubeSat, BIRDS project

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