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Prediction of Wind Turbine Blade Fatigue Life Based on GA-B..:
, In:
2023 5th International Conference on System Reliability and Safety Engineering (SRSE)
,
Bi, Junxi
;
Jiao, Jiaming
;
Ma, Hang
... - p. 297-303 , 2023
Link:
https://doi.org/10.1109/SRSE59585.2023.10336091
RT T1
2023 5th International Conference on System Reliability and Safety Engineering (SRSE)
: T1
Prediction of Wind Turbine Blade Fatigue Life Based on GA-BP Neural Network
UL https://suche.suub.uni-bremen.de/peid=ieee-10336091&Exemplar=1&LAN=DE A1 Bi, Junxi A1 Jiao, Jiaming A1 Ma, Hang A1 Ge, Xinyu A1 Wang, Guofu A1 Zhou, Dachuan YR 2023 K1 Blades K1 Neural networks K1 Predictive models K1 Fatigue K1 Data models K1 Wind turbines K1 Finite element analysis K1 wind turbine blade K1 neural network K1 genetic algorithm K1 fatigue life prediction SP 297 OP 303 LK http://dx.doi.org/https://doi.org/10.1109/SRSE59585.2023.10336091 DO https://doi.org/10.1109/SRSE59585.2023.10336091 SF ELIB - SuUB Bremen
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