Xiu-Li Liu

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

Experimental results demonstrate that the proposed framework not only exhibits outstanding resistance to catastrophic forgetting and excellent multi-scenario adaptability, but also achieves superior predictive accuracy compared to state-of-the-art methods by leveraging the dual-dimensional continual learning strategy.