Semi-supervised multi-indicator noise filtered optimization for fault diagnosis of high-speed train axle box bearings under noisy labels
Structural Health Monitoring: An International Journal
Published online on February 14, 2026
Abstract
Structural Health Monitoring, Ahead of Print.
Due to lengthy data collection and manual annotation challenges, fault datasets for high-speed train axle box bearings often contain mislabeled samples. This study proposes a semi-supervised method that integrates multi-indicator noise filtering with ...
Due to lengthy data collection and manual annotation challenges, fault datasets for high-speed train axle box bearings often contain mislabeled samples. This study proposes a semi-supervised method that integrates multi-indicator noise filtering with ...