Dual-modal feature pyramid fusion and distribution alignment for cross-domain few-shot fault diagnosis
A dual-modal feature pyramid fusion and distribution alignment framework that introduces KL-divergence loss to supervise feature alignment, thereby stabilizing fine-tuning and suppressing overfitting and a training protocol combining meta-learning pre-training and targeted fine-tuning is developed to address extreme da...