DiffDA-Net: diffusion-augmented domain adaptive network for analog circuit fault diagnosis under imbalanced and variable operating conditions.
DiffDA-Net is proposed, a unified two-stage framework that addresses both challenges simultaneously and reports a systematic benchmark of generative augmentation and domain-adaptation components under this joint setting, and performs on par with SMOTE and ADASYN yet markedly better than GAN-based generation.