Counterfactual domain generalization with adaptive source reweighting and causal disentanglement for bearing fault diagnosis
The robustness and reliability of bearing fault diagnosis are crucial for ensuring the safe operation of complex rotating machinery. However, differences in operating conditions and machinery can lead to substantial domain shifts, thereby degrading the generalization performance of conventional deep learning models und...