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Motion Response Prediction of Deep-Sea Floating Wind Turbines With the NLinear Model Optimized by the Optuna Framework
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. Floating wind turbines are core equipment for developing deep-sea wind energy resources. Accurately predicting their six degrees-of-freedom (6DOF) motion response is crucial for load fluctuation control and ...
Data-Driven Monitoring of Offshore Wind Turbine Bearing Temperature Using Adaptive Sparse Attention and Uncertainty Quantification
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. With the rapid development of the offshore wind power industry, ensuring the stability and safety of wind turbines has become increasingly important. As a critical component, the temperature of wind turbine ...
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