Method for Intelligent Design and Application of Offshore Wind Turbine Structures Based on Sequential Knowledge Distillation and Transfer Learning

Abstract: the provided is a method for intelligent design and application of offshore wind turbine structures based on sequential knowledge distillation and transfer learning. the method includes the following steps: s1, obtaining the open data set of the offshore wind turbine structures; s2, more than three random initialization lightweight network models are obtained, under the supervision of the intelligently designed artificial intelligence regression model of the offshore wind turbine structure as the teacher model, the knowledge distillation of the lightweight network model is performed to obtain the student model; s3, transfer learning is used for the student model, and the undeclared environmental parameters, wind turbine parameters and structural design parameters of the offshore wind power commercial wind turbine of the enterprise are accessed to obtain a lightweight model for the megawatt commercial wind turbine, and the regression model with the highest accuracy is screened.

Inventor(s): Yuxiao LUO, Kaoshan DAI, Hang DU, Jianze WANG, Junlin HENG, Qinlin CAI, Yunlong GUO

CPC Classification: G06F30/27 (using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model)

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