Time-varying mesh stiffness calculation of cracked spur gears BW Hui Ma, Rongze Song, Xu Pang Engineering Failure Analysis 44, 179-194, 2014 | 334 | 2014 |
Review on dynamics of cracked gear systems BW Hui Ma, Jin Zeng, Ranjiao Feng, Xu Pang, Qibin Wang Engineering Failure Analysis 55, 224-245, 2015 | 321 | 2015 |
Machinery fault diagnosis with imbalanced data using deep generative adversarial networks W Zhang, X Li, XD Jia, H Ma, Z Luo, X Li Measurement 152, 107377, 2020 | 305 | 2020 |
An improved analytical method for mesh stiffness calculation of spur gears with tip relief BW Hui Ma, Jin Zeng, Ranjiao Feng, Xu Pang Mechanism and Machine Theory 98, 64-80, 2016 | 281 | 2016 |
A multi-stage semi-supervised learning approach for intelligent fault diagnosis of rolling bearing using data augmentation and metric learning K Yu, TR Lin, H Ma, X Li, X Li Mechanical Systems and Signal Processing 146, 107043, 2021 | 218 | 2021 |
Federated learning for machinery fault diagnosis with dynamic validation and self-supervision W Zhang, X Li, H Ma, Z Luo, X Li Knowledge-Based Systems 213, 106679, 2021 | 216 | 2021 |
Calculation of mesh stiffness of spur gears considering complex foundation types and crack propagation paths K Chen, Y Huangfu, H Ma, Z Xu, X Li, B Wen Mechanical Systems and Signal Processing 130, 273-292, 2019 | 189 | 2019 |
Universal domain adaptation in fault diagnostics with hybrid weighted deep adversarial learning W Zhang, X Li, H Ma, Z Luo, X Li IEEE Transactions on Industrial Informatics 17 (12), 7957-7967, 2021 | 186 | 2021 |
Fault features analysis of cracked gear considering the effects of the extended tooth contact Hui Ma, Xu Pang, Ranjiao Feng, Rongze Song, Bangchun Wen Engineering Failure Analysis 48, 105-120, 2015 | 185 | 2015 |
Open-set domain adaptation in machinery fault diagnostics using instance-level weighted adversarial learning W Zhang, X Li, H Ma, Z Luo, X Li IEEE Transactions on Industrial Informatics 17 (11), 7445-7455, 2021 | 169 | 2021 |
Meshing and dynamic characteristics analysis of spalled gear systems: A theoretical and experimental study Y Huangfu, K Chen, H Ma, X Li, H Han, Z Zhao Mechanical Systems and Signal Processing 139, 106640, 2020 | 162 | 2020 |
Improved time-varying mesh stiffness model of cracked spur gears BW Hui Ma, Xu Pang, Ranjiao Feng, Jin Zeng Engineering Failure Analysis 55, 271-287, 2015 | 159 | 2015 |
Partial transfer learning in machinery cross-domain fault diagnostics using class-weighted adversarial networks X Li, W Zhang, H Ma, Z Luo, X Li Neural Networks 129, 313-322, 2020 | 147 | 2020 |
A combined polynomial chirplet transform and synchroextracting technique for analyzing nonstationary signals of rotating machinery K Yu, TR Lin, H Ma, H Li, J Zeng IEEE Transactions on Instrumentation and Measurement 69 (4), 1505-1518, 2020 | 141 | 2020 |
Evaluation of optimum profile modification curves of profile shifted spur gears based on vibration responses BW Hui Ma, Xu Pang, Ranjiao Feng Mechanical Systems and Signal Processing 70, 1131-1149, 2016 | 133 | 2016 |
An improved time-varying mesh stiffness model for helical gear pairs considering axial mesh force component Q Wang, B Zhao, Y Fu, X Kong, H Ma Mechanical Systems and Signal Processing 106, 413-429, 2018 | 132 | 2018 |
Time-varying mesh stiffness calculation of spur gears with spalling defect H Ma, Z Li, M Feng, R Feng, B Wen Engineering Failure Analysis 66, 166-176, 2016 | 132 | 2016 |
Data alignments in machinery remaining useful life prediction using deep adversarial neural networks X Li, W Zhang, H Ma, Z Luo, X Li Knowledge-Based Systems 197, 105843, 2020 | 129 | 2020 |
Deep representation clustering-based fault diagnosis method with unsupervised data applied to rotating machinery X Li, X Li, H Ma Mechanical Systems and Signal Processing 143, 106825, 2020 | 127 | 2020 |
Transfer learning using deep representation regularization in remaining useful life prediction across operating conditions W Zhang, X Li, H Ma, Z Luo, X Li Reliability Engineering & System Safety 211, 107556, 2021 | 126 | 2021 |