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.
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