A semi-supervised learning framework for bearing fault recognition under strong noise
Structural Health Monitoring: An International Journal
Published online on June 08, 2025
Abstract
Structural Health Monitoring, Ahead of Print.
Intelligent bearing fault diagnosis methods based on deep learning have achieved massive results. However, acquiring sufficient labeled samples in engineering is a time-consuming and laborious task, and the signals are often contaminated by strong noise. ...
Intelligent bearing fault diagnosis methods based on deep learning have achieved massive results. However, acquiring sufficient labeled samples in engineering is a time-consuming and laborious task, and the signals are often contaminated by strong noise. ...