ACS-DM: Adaptive conditional sampling diffusion model for few-shot machinery fault diagnosis
Qingbin Tong, Ruize Zhu, Feiyu Lu, B. C. Wang et autres
Deep learning has advanced machinery fault diagnosis, yet performance remains constrained by scarce and imbalanced labeled vibration data. We present ACS-DM, an adaptive conditional sampling diffusion framework that synthesizes frequency-faithful yet temporally diverse signals for few-shot regimes. ACS-DM couples a Nested U-Net …
cn (code pays fourni par la source)