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Unsupervised bearing fault diagnosis and noise-robust data cleaning using a Swin transformer-based dual-module framework

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Journal of Vibration and Control

Published online on

Abstract

Journal of Vibration and Control, Ahead of Print.
Bearings are essential components in high-speed train bogies, playing a crucial role in ensuring safe and reliable operation. In recent years, data-driven intelligent fault diagnosis methods have demonstrated impressive performance. However, most existing ...