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Self-supervised learning for train bearing fault diagnosis based on time–frequency dual domain prediction

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Structural Health Monitoring: An International Journal

Published online on

Abstract

Structural Health Monitoring, Ahead of Print.
Train traction motor bearings (TTMBs) are critical for ensuring stable and safe train operation. However, most intelligent fault diagnosis methods face significant challenges due to the complexity and variability of TTMB fault data, as well as the high ...