KAP-Former: a knowledge-aware physics-informed transformer for cross-domain few-shot bearing fault diagnosis
Recent advances in deep metric learning and meta-learning have shown promise for few-shot bearing fault diagnosis, yet their cross-domain generalization remains limited under cross-sampling-rate conditions, cross-test-rig transfer, and strong background interference, mainly due to frequency-coordinate misalignment and...