Filtered contrastive learning with kernel attention and its application in rolling bearing fault diagnosis
Structural Health Monitoring: An International Journal
Published online on June 07, 2026
Abstract
Structural Health Monitoring, Ahead of Print.
Contrastive learning (CL), as a commonly used method for mechanical fault diagnosis, has achieved good application results, but it is prone to introducing false negatives and redundant easy negatives, especially in strong noise environments. To address ...
Contrastive learning (CL), as a commonly used method for mechanical fault diagnosis, has achieved good application results, but it is prone to introducing false negatives and redundant easy negatives, especially in strong noise environments. To address ...