IEEE

Transfer-Learning-Based BiLSTM-WGAN Approach for Synthetic Data Generation of Sub-Synchronous Oscillations in Wind Farms

Abstract: The phenomenon of sub-synchronous oscillation (SSO) poses significant threats to the stability of power systems. The advent of artificial intelligence (AI) has revolutionized SSO research ...
IEEE

Demagnetization Fault Diagnosis of Permanent Magnet Synchronous Generator for Wind Turbine Based on ResNet-50 Transfer Learning Model

Abstract: This paper utilizes Convolutional Neural Networks (CNN) with Residual Networks (ResNet) to identify and classify demagnetization faults in images. Firstly, we collected current feature ...