A credible granular feature contrastive learning network for fault diagnosis with semi-supervised domain generalization
Structural Health Monitoring: An International Journal
Published online on February 05, 2026
Abstract
Structural Health Monitoring, Ahead of Print.
Fault diagnosis methods based on domain generalization (DG) have gained significant attention for their ability to improve model generalization and perform fault diagnosis in unknown target domains. However, in practical applications, unlabeled data is ...
Fault diagnosis methods based on domain generalization (DG) have gained significant attention for their ability to improve model generalization and perform fault diagnosis in unknown target domains. However, in practical applications, unlabeled data is ...