DCNN With Explicable Training Guide and its Application to Fault Diagnosis of the Planetary Gearboxes. - Peng Luo; Niaoqing Hu; Guoji Shen; Lun Zhang; Zhe Cheng 001 (IEEE Access, 2020)

Discriminative manifold random vector functional link neural network for rolling bearing fault diagnosis. - Xin Li 095; Yu Yang 009; Niaoqing Hu; Zhe Cheng 001; Junsheng Cheng (Knowl. Based Syst., 2021)

Maximum margin Riemannian manifold-based hyperdisk for fault diagnosis of roller bearing with multi-channel fusion covariance matrix. - Xin Li 095; Yu Yang 009; Niaoqing Hu; Zhe Cheng 001; Haidong Shao; Junsheng Cheng (Adv. Eng. Informatics, 2022)

Sparse random projection-based hyperdisk classifier for bevel gearbox fault diagnosis. - Zuanyu Zhu; Yu Yang 009; Niaoqing Hu; Zhe Cheng 001; Junsheng Cheng (Adv. Eng. Informatics, 2022)

A Fault Detection Method Based on an Oil Temperature Forecasting Model Using an Improved Deep Deterministic Policy Gradient Algorithm in the Helicopter Gearbox. - Lei Wei; Zhe Cheng 001; Junsheng Cheng; Niaoqing Hu; Yi Yang 062 (Entropy, 2022)

A novel empirical random feature decomposition method and its application to gear fault diagnosis. - Feng Liu; Junsheng Cheng; Niaoqing Hu; Zhe Cheng 001; Yu Yang 009 (Adv. Eng. Informatics, 2024)

Multi-target domain adaptation intelligent diagnosis method for rotating machinery based on multi-source attention mechanism and mixup feature augmentation. - Mengyu Liu; Zhe Cheng 001; Yu Yang 009; Niaoqing Hu; Yi Yang 062 (Reliab. Eng. Syst. Saf., 2024)

Quasi-Periodic Component Decomposition: New Decomposition Theory for Gear Fault Diagnosis. - Xianbin Zheng; Yu Yang 009; Niaoqing Hu; Zhe Cheng 001; Junsheng Cheng (IEEE Trans. Instrum. Meas., 2024)

Adaptive reconstruct feature difference network for open set domain generalization fault diagnosis. - Mengyu Liu; Zhe Cheng 001; Yu Yang 009; Niaoqing Hu; Guoji Shen; Yi Yang 062 (Eng. Appl. Artif. Intell., 2025)