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Research on wind tunnel test data prediction and fault diag..:
, In:
2023 IEEE International Conference on Mechatronics and Automation (ICMA)
,
Boya, Liu
;
Jianfeng, Wang
;
Mingyuan, Liu
. - p. 1773-1779 , 2023
Link:
https://doi.org/10.1109/ICMA57826.2023.10216138
RT T1 <cTitle>2023 IEEE International Conference on Mechatronics and Automation (ICMA)</cTitle>: T1 <Title>Research on wind tunnel test data prediction and fault diagnosis technology based on machine learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10216138&Exemplar=1&LAN=DE A1 Boya, Liu A1 Jianfeng, Wang A1 Mingyuan, Liu A1 Gengwei, Yan YR 2023 SN 2152-744X K1 Analytical models K1 Technological innovation K1 Solid modeling K1 Wind tunnels K1 Predictive models K1 Aerodynamics K1 Prediction algorithms K1 Wind tunnel test K1 machine learning K1 small sample K1 prediction and fault diagnosis K1 data mining SP 1773 OP 1779 LK http://dx.doi.org/https://doi.org/10.1109/ICMA57826.2023.10216138 DO https://doi.org/10.1109/ICMA57826.2023.10216138 SF ELIB - SuUB Bremen
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