Xiaomin Zhou

Interpretable flatness anomaly monitoring and potential transmission path tracing based on a dynamic graph temporal convolution-informer model

Cold-rolled steel strips are widely used in automotive manufacturing, energy equipment, and other high-end industrial fields, where flatness is a critical indicator of product quality and service reliability. However, the cold rolling process is characterised by high speed, strong nonlinearity, and complex multivariabl...

Data-driven intelligent optimization of cold-rolled aluminum strip thickness control: a hybrid TCN-LSTM-AM and JITL-XGBoost approach