Enhanced fault diagnosis of rolling bearings using attention-augmented separable residual networks

Recently, with the quick development of industrial equipment automation, convolutional neural networks (CNN) have been broadly applied to the intelligent fault diagnosis of rolling bearings. In order to solve the problems of gradient vanishing, gradient explosion, and too many training parameters in...

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Bibliographic Details
Main Authors: Chuang Liang, Xuelin Mu, Xiaoguang Zhang, Fanfan Lu, Chengcheng Wang, Yubo Shao
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Engineering Science and Technology, an International Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2215098624003161
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