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Author

Xuenian Hu

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Open access Oct 2026

Fault Diagnosis Method Based on Convolutional Attention Mecha-nism and ResNet34

To solve the problem of network degradation caused by blind stacking of convolutional layers, and to further improve the feature extraction ability of deep learning models for gear small sample fault signals, a fault diagnosis method based on LW-DCGAN and C-ResNet34 models is proposed. Firstly, the LW-DCGAN model is...

Qi-Zhi Zhang, Xue-Nian Hu, Xu-Jing Tian et al. · 0 citations
Aug 2026

Fault diagnosis of rotating machinery bearings under strong noise backgrounds using refined composite wavelet packet fuzzy diversity entropy

In recent years, multiscale fuzzy diversity entropy (MFDE) has been demonstrated as a highly promising feature extraction tool for intelligent fault diagnosis. Compared to existing entropy methods, MFDE offers the advantages of high consistency, strong robustness, and excellent computational efficiency. However, the co...

Xuenian Hu, Yong-Liang Song, Jin Xu et al. · 0 citations

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