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Cross-domain fault identification of bearings based on synchrosqueezed wavelet–scattering transform and bagging–convolutional neural network

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Journal of Vibration and Control

Published online on

Abstract

Journal of Vibration and Control, Ahead of Print.
Cross-domain fault diagnosis of rolling bearings plays a pivotal role in maintaining mechanical system reliability and operational safety, particularly under complex operational environments where bearing failures frequently occur. To improve the accuracy ...