Abstract: In this paper, an efficient CNN model with transfer learning ability is developed for predicting the nonlinear behavior of transistors under large signal stimuli. The CNN consists of ...
Abstract: This paper proposes a wind turbine blade fault identification method based on digital twin and convolutional neural network. Since there are few samples of wind turbine blade fault data, it ...
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