Prognostic Study of CNC Machine Component Using a Systematic Method. - Yafei Deng; Shichang Du; Chen Zhao (IEEM, 2019)

Geometric Error Modeling and Monitoring of the 3D Surface by Gaussian Correlation Model. - Chen Zhao; Jun Lv; Shichang Du; Yafei Deng (IEEM, 2019)

A double-layer attention based adversarial network for partial transfer learning in machinery fault diagnosis. - Yafei Deng; Delin Huang; Shichang Du; Guilong Li; Chen Zhao; Jun Lv (Comput. Ind., 2021)

Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer. - Yafei Deng; Jun Lv; Delin Huang; Shichang Du (Neurocomputing, 2023)

A Calibration-Based Hybrid Transfer Learning Framework for RUL Prediction of Rolling Bearing Across Different Machines. - Yafei Deng; Shichang Du; Dong Wang 001; Yiping Shao; Delin Huang (IEEE Trans. Instrum. Meas., 2023)

A novel parallel classification network for classifying three-dimensional surface with point cloud data. - Chen Zhao; Shichang Du; Jun Lv; Yafei Deng; Guilong Li (J. Intell. Manuf., 2023)

Multi-resource constrained flexible job shop scheduling problem with fixture-pallet combinatorial optimisation. - Molin Liu; Jun Lv; Shichang Du; Yafei Deng; Xiaoxiao Shen; Yulu Zhou (Comput. Ind. Eng., 2024)