Remaining Useful Life Prediction of Aeroengines via Target-Domain Mutual Information and Fine-Grained Alignment
Predicting the remaining useful life (RUL) of aeroengines across different operating conditions, traditional cross-domain learning struggles to capture the intrinsic semantics of the target domain, resulting in prediction results that are highly sensitive to uncertainty in the target-domain distribution. Furthermore, f...