Uncertainty Quantification and Management for Numerical Model of JAXA 6.5m × 5.5m Low-Speed Wind Tunnel
Author:
Affiliation:
1. 連絡先著者（Corresponding author）：hamato.shotaro@jaxa.jp
2. 国立研究開発法人宇宙航空研究開発機構研究開発部門
3. 国立研究開発法人宇宙航空研究開発機構航空技術部門
Publisher
Japan Society for Aeronautical and Space Sciences
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/jjsass/71/5/71_71_209/_pdf
Reference34 articles.
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2. 2) Kandukuri, S. T., Klausen, A., Karimi, H. R. and Robbersmyr, K. G.: A Review of Diagnostics and Prognostics of Low-speed Machinery Towards Wind Turbine Farm-level Health Management, Renew. Sustain. Energy Rev., 53 (2016), pp. 697-708, doi: 10.1016/j.rser.2015.08.061
3. 3) Wang, D., Tsui, K.-L. and Miao, Q.: Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators, IEEE Access, 6 (2018), pp. 665-676, doi: 10.1109/ACCESS.2017.2774261
4. 4) Tsutsumi, S., Hirabayashi, M., Sato, D., Kawatsu, K., Sato, M., Kimura, T., Hashimoto, T. and Abe, M.: Data-driven Fault Detection in a Reusable Rocket Engine Using Bivariate Time-series Analysis, Acta Astronaut., 179 (2021), pp. 685-694, doi: 10.1016/j.actaastro.2020.11.035
5. 5) Omata, N., Satoh, D., Tsutsumi, S., Kawatsu, K. and Abe, M.: Model-based Supervised Sensor Placement Optimization to Detect Propellant Leak in a Liquid Rocket Engine, Acta Astronaut., 195 (2022), pp. 234-242, doi: 10.1016/j.actaastro.2022.02.009
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