Fault diagnosis and early warning for distribution network equipment operation and maintenance using artificial intelligence and digital twins
This work substantively advances digital-integrated predictive maintenance and delivers an engineering blueprint for intelligent operation of modern distribution networks, proving robust under data imbalance and operational uncertainty.