Cheng Ji

Feature representation learning by knowledge informed evolutionary generating programming for remaining useful life prediction of winders

Experimental results demonstrate that the proposed method significantly improves fault prediction accuracy and stability compared to traditional techniques and standard GEP approaches, demonstrating its practical value for industrial applications.