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Author

Guoqiang Wang

2 papers indexed here

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Open access Oct 2026

A Cross‐Modal Gated Fusion Network Synergizing Physical Priors and Deep Learning for Robust Bearing Fault Diagnosis

A hybrid diagnostic framework that synergizes explicit physical priors with deep spatiotemporal representations is introduced, demonstrating that the proposed framework consistently outperforms existing deep learning models.

Yi-Tong Liu, Xin-Tian Liu, Zhi-Guo Zhang et al. · 0 citations
Open access Jul 2026

A Physics-Constrained Spectral Generative Adversarial Network for Rolling Bearing Fault Diagnosis

The PCS-GAN model employs a time-frequency dual-discriminator structure to enforce statistical and spectral realism via physics-informed loss terms via physics-informed loss terms to provide a computationally efficient and reliable solution for fault diagnosis in data-scarce industrial settings.

Yi-Tong Liu, Xin-Tian Liu, Guoqiang Wang et al. · 0 citations

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