Abstract: Recently, some large kernel convnets strike back with appealing performance and efficiency. However, given the square complexity of convolution, scaling up kernels can bring about an ...

Abstract: To address the problems of limited identification accuracy and poor generalization ability of bearing fault diagnosis models, a convolutional neural network model for bearing fault diagnosis ...