Multi-scale deep intra-class transfer learning for bearing fault diagnosis

•ResNet-50 is improved to learn low-level features automatically.•Multi-scale feature extractor is embedded in models to decrease information loss.•Distance between domains is measured by conditional maximum mean discrepancy.•Case studies confirm the superiority and robustness of the proposed method.