Physics-informed diffusion model for small-sample bearing fault diagnosis via signal generation
Rolling bearing fault diagnosis is fundamentally limited under small-sample conditions, where insufficient data hinder stable modeling of impact structures and modulation characteristics in nonstationary vibration signals. Existing generative approaches predominantly rely on distribution fitting, which, under data scar...