Insulation-Condition Assessment of Oil-Immersed Transformer Bushings Based on a Physics-Proxy-Residual-Guided Cross-Attention Ensemble Neural Network
This study proposes a physics-proxy-residual-guided cross-attention ensemble neural network (PGAE-NN) for oil-immersed transformer bushing insulation-condition assessment and early warning. Eight core indicators are selected from twelve candidates via Pearson correlation and Fisher discriminant analyses, with four insu...