Twin contrastive learning based on negative sample attention and its application in rolling bearing fault diagnosis
Structural Health Monitoring: An International Journal
Published online on September 12, 2025
Abstract
Structural Health Monitoring, Ahead of Print.
Contrastive learning (CL) is a learning strategy that has received widespread attention in the field of machine learning, which trains models by learning to distinguish between pairs of positive and negative samples. Unfortunately, the model struggles to ...
Contrastive learning (CL) is a learning strategy that has received widespread attention in the field of machine learning, which trains models by learning to distinguish between pairs of positive and negative samples. Unfortunately, the model struggles to ...