Sheng-Kai Zhao

Stage-Aware Multi-Task Learning with Causal Degradation-Prior Fusion for Remaining Useful Life Prediction

Remaining useful life (RUL) prediction of wind-turbine bearings is challenged by nonstationary wind loads, multistage degradation, substantial lifetime dispersion, and strict deployment constraints. Conventional single-task regressors apply a unified feature-to-RUL mapping over the entire life cycle and therefore strug...