Applied Ocean Research
 2023
DOI: 10.1016/j.apor.2023.103796
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Real-time hybrid model tests of floating offshore wind turbines: Status, challenges, and future trends

Wei Shi,
Jie Fu,
Zhengru Ren
et al.
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Cited by 9 publications
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References 77 publications
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Reconstruction analysis of blades models of floating offshore wind turbine utilizing genetic algorithm and feedforward neural network

Wang,
Liu,
Ma
et al. 2024
Applied Ocean Research
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Reconstruction analysis of blades models of floating offshore wind turbine utilizing genetic algorithm and feedforward neural network

Wang,
Liu,
Ma
et al. 2024
Applied Ocean Research
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Development and verification of real-time hybrid model test delay compensation method for monopile-type offshore wind turbines

Shi,
Fu,
Ren
et al. 2024
Applied Ocean Research
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Real-time hybrid model tank testing for aero-hydro-servo-elastic assessment of a monopile offshore wind turbine

Fu,
Han,
Shi
et al. 2024
Applied Ocean Research
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