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A semi-supervised learning framework for bearing fault recognition under strong noise

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Structural Health Monitoring: An International Journal

Published online on

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. ...