Zenghui An

Inverse physics–informed neural networks for digital twin–based bearing fault diagnosis under imbalanced samples

Deep transfer learning strategy in intelligent fault diagnosis of rotating machinery

Self-learning transferable neural network for intelligent fault diagnosis of rotating machinery with unlabeled and imbalanced data

Unsupervised domain adaptation via enhanced transfer joint matching for bearing fault diagnosis