Shuo Cui

Enabling generalizable RUL prediction for equipment: a dual-dimensional continual learning approach based on deep Gaussian process

Abstract Accurately predicting Remaining Useful Life (RUL) is critical for the intelligent maintenance of high-end rotating machinery, which often operates under complex and variable conditions. However, conventional predictive models tend to degrade in performance when deployed...