A Fault Diagnosis Approach for Gears Based on IMF AR Model and SVM. - Junsheng Cheng; Dejie Yu; Yu Yang 009 (EURASIP J. Adv. Signal Process., 2008)

Application of the improved generalized demodulation time-frequency analysis method to multi-component signal decomposition. - Junsheng Cheng; Yu Yang 009; Dejie Yu (Signal Process., 2009)

A rotating machinery fault diagnosis method based on local mean decomposition. - Junsheng Cheng; Yi Yang 062; Yu Yang 009 (Digit. Signal Process., 2012)

Partly ensemble empirical mode decomposition: An improved noise-assisted method for eliminating mode mixing. - Jinde Zheng; Junsheng Cheng; Yu Yang 009 (Signal Process., 2014)

Maximum margin classification based on flexible convex hulls. - Ming Zeng 005; Yu Yang 009; Jinde Zheng; Junsheng Cheng (Neurocomputing, 2015)

A generalized Gilbert algorithm and an improved MIES for one-class support vector machine. - Ming Zeng 005; Yu Yang 009; Junsheng Cheng (Knowl. Based Syst., 2015)

A generalized Mitchell-Dem'yanov-Malozemov algorithm for one-class support vector machine. - Ming Zeng 005; Yu Yang 009; Junsheng Cheng (Knowl. Based Syst., 2016)

Improved Deep Transfer Auto-Encoder for Fault Diagnosis of Gearbox Under Variable Working Conditions With Small Training Samples. - Zhiyi He; Haidong Shao; Xiaoyang Zhang; Junsheng Cheng; Yu Yang 009 (IEEE Access, 2019)

Rolling Bearing Performance Degradation Assessment Based on Convolutional Sparse Combination Learning. - Wenyi Huang; Junsheng Cheng; Yu Yang 009 (IEEE Access, 2019)

A novel deep stacking least squares support vector machine for rolling bearing fault diagnosis. - Xin Li 095; Yu Yang 009; Haiyang Pan; Jian Cheng; Junsheng Cheng (Comput. Ind., 2019)

An improved deep convolutional neural network with multi-scale information for bearing fault diagnosis. - Wenyi Huang; Junsheng Cheng; Yu Yang 009; Gaoyuan Guo (Neurocomputing, 2019)

Linear maximum margin tensor classification based on flexible convex hulls for fault diagnosis of rolling bearings. - Zhiyi He; Junsheng Cheng; Juan Li; Yu Yang 009 (Knowl. Based Syst., 2019)

An intelligent fault diagnosis method for rotor-bearing system using small labeled infrared thermal images and enhanced CNN transferred from CAE. - Zhiyi He; Haidong Shao; Xiang Zhong; Yu Yang 009; Junsheng Cheng (Adv. Eng. Informatics, 2020)

Symplectic incremental matrix machine and its application in roller bearing condition monitoring. - Haiyang Pan; Yu Yang 009; Ping Wang; Jian Wang; Junsheng Cheng (Appl. Soft Comput., 2020)

Symplectic interactive support matrix machine and its application in roller bearing condition monitoring. - Haiyang Pan; Yu Yang 009; Jinde Zheng; Xin Li 095; Junsheng Cheng (Neurocomputing, 2020)

Deep transfer multi-wavelet auto-encoder for intelligent fault diagnosis of gearbox with few target training samples. - Zhiyi He; Haidong Shao; Ping Wang; Janet (Jing) Lin; Junsheng Cheng; Yu Yang 009 (Knowl. Based Syst., 2020)

Extensible and displaceable hyperdisk based classifier for gear fault intelligent diagnosis. - Tianzhen Hu; Junsheng Cheng; Ping Wang; Jian Wang; Yu Yang 009 (Knowl. Based Syst., 2020)

Enhanced deep gated recurrent unit and complex wavelet packet energy moment entropy for early fault prognosis of bearing. - Haidong Shao; Junsheng Cheng; Hongkai Jiang; Yu Yang 009; Wu Zhantao (Knowl. Based Syst., 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)

High-accuracy gearbox health state recognition based on graph sparse random vector functional link network. - Xin Li 095; Yu Yang 009; Wu Zhantao; Ke Yan 001; Haidong Shao; Junsheng Cheng (Reliab. Eng. Syst. Saf., 2022)

Ramanujan Fourier Mode Decomposition and Its Application in Gear Fault Diagnosis. - Jian Cheng; Yu Yang 009; Wu Zhantao; Haidong Shao; Haiyang Pan; Junsheng Cheng (IEEE Trans. Ind. Informatics, 2022)

Design and Analysis of a Novel Multimode Powertrain for a PHEV Using Two Electric Machines. - Shunzhang Zou; Jun Zhang; Yunfeng Liu; Yu Yang 009; Yunshan Zhou; Jiande Wang; Jingyang Peng; Guolin Wang (IEEE Access, 2024)

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)