Cross-view multi-stage contrastive learning with label-guided decision boundary calibration for semi-supervised bearing fault diagnosis
Structural Health Monitoring: An International Journal
Published online on July 21, 2026
Abstract
Structural Health Monitoring, Ahead of Print.
In practical bearing fault diagnosis scenarios, fault label annotation usually relies on costly expert knowledge and manual analysis, resulting in a very limited number of labeled samples available for model training, while abundant unlabeled vibration ...
In practical bearing fault diagnosis scenarios, fault label annotation usually relies on costly expert knowledge and manual analysis, resulting in a very limited number of labeled samples available for model training, while abundant unlabeled vibration ...