A Study on Domain Generalization Methods for Rolling Bearing Fault Diagnosis Based on Mean Differences and Domain Adversarial Learning
A multiscale one-dimensional convolutional network is employed to extract fault impact features and periodic features across different time scales, and mean difference constraints between source domains are introduced in the feature space to reduce the offset in the centers of feature distributions across different sou...