An Intelligent Hybrid Bearing Fault Diagnosis Method Based on Transformer and Domain Adaptation

Deep-Learning (DL) methods have been successfully applied in the bearing fault diagnosis field. However, previous methods mainly focus on two assumptions: 1) training (source) and testing (target) data are sufficient with labels; 2) the distribution of the training and testing data are identical, which are obviously easy to be violated in the industry. Recently, domain adaptation has been successf...