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Hui Ma(马辉)
Hui Ma(马辉)
在 mail.neu.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Time-varying mesh stiffness calculation of cracked spur gears
BW Hui Ma, Rongze Song, Xu Pang
Engineering Failure Analysis 44, 179-194, 2014
3342014
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
3212015
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
3052020
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
2812016
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
2182021
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
2162021
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
1892019
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
1862021
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
1852015
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
1692021
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
1622020
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
1592015
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
1472020
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
1412020
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
1332016
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
1322018
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
1322016
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
1292020
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
1272020
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
1262021
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