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Wentao Mao
Wentao Mao
Henan Normal University
Verified email at htu.edu.cn
Title
Cited by
Cited by
Year
Predicting remaining useful life of rolling bearings based on deep feature representation and transfer learning
W Mao, J He, MJ Zuo
IEEE Transactions on Instrumentation and Measurement 69 (4), 1594-1608, 2019
2322019
Imbalanced fault diagnosis of rolling bearing based on generative adversarial network: A comparative study
W Mao, Y Liu, L Ding, Y Li
Ieee Access 7, 9515-9530, 2019
2162019
Online sequential prediction of bearings imbalanced fault diagnosis by extreme learning machine
W Mao, L He, Y Yan, J Wang
Mechanical Systems and Signal Processing 83, 450-473, 2017
1972017
A new deep auto-encoder method with fusing discriminant information for bearing fault diagnosis
W Mao, W Feng, Y Liu, D Zhang, X Liang
Mechanical Systems and Signal Processing 150, 107233, 2021
1662021
A novel deep output kernel learning method for bearing fault structural diagnosis
W Mao, W Feng, X Liang
Mechanical Systems and Signal Processing 117, 293-318, 2019
1232019
Bearing fault diagnosis with auto-encoder extreme learning machine: A comparative study
W Mao, J He, Y Li, Y Yan
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2017
1172017
Predicting remaining useful life of rolling bearings based on deep feature representation and long short-term memory neural network
W Mao, J He, J Tang, Y Li
Advances in Mechanical Engineering 10 (12), 1687814018817184, 2018
1082018
A new online detection approach for rolling bearing incipient fault via self-adaptive deep feature matching
W Mao, J Chen, X Liang, X Zhang
IEEE Transactions on Instrumentation and Measurement 69 (2), 443-456, 2019
1012019
Hybrid Particle Swarm and Grey Wolf Optimizer and its application to clustering optimization
X Zhang, Q Lin, W Mao, S Liu, Z Dou, G Liu
Applied Soft Computing 101, 107061, 2021
982021
Online detection for bearing incipient fault based on deep transfer learning
W Mao, L Ding, S Tian, X Liang
Measurement 152, 107278, 2020
932020
Fire recognition based on multi-channel convolutional neural network
W Mao, W Wang, Z Dou, Y Li
Fire technology 54, 531-554, 2018
752018
A new structured domain adversarial neural network for transfer fault diagnosis of rolling bearings under different working conditions
W Mao, Y Liu, L Ding, A Safian, X Liang
IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2020
692020
Online detection of bearing incipient fault with semi-supervised architecture and deep feature representation
W Mao, S Tian, J Fan, X Liang, A Safian
Journal of Manufacturing Systems 55, 179-198, 2020
662020
An adaptive stochastic dominant learning swarm optimizer for high-dimensional optimization
Q Yang, WN Chen, T Gu, H Jin, W Mao, J Zhang
IEEE Transactions on Cybernetics 52 (3), 1960-1976, 2020
542020
A novel vibration-based prognostic scheme for gear health management in surface wear progression of the intelligent manufacturing system
K Feng, JC Ji, Q Ni, Y Li, W Mao, L Liu
Wear 522, 204697, 2023
522023
An ELM-based model with sparse-weighting strategy for sequential data imbalance problem
W Mao, J Wang, Z Xue
International Journal of Machine Learning and Cybernetics 8, 1333-1345, 2017
502017
A fast and robust model selection algorithm for multi-input multi-output support vector machine
W Mao, J Xu, C Wang, L Dong
Neurocomputing 130, 10-19, 2014
332014
An interpretable deep transfer learning-based remaining useful life prediction approach for bearings with selective degradation knowledge fusion
W Mao, J Liu, J Chen, X Liang
IEEE Transactions on Instrumentation and Measurement 71, 1-16, 2022
322022
Leave-one-out cross-validation-based model selection for multi-input multi-output support vector machine
W Mao, X Mu, Y Zheng, G Yan
Neural Computing and Applications 24, 441-451, 2014
312014
Transfer learning algorithms for bearing remaining useful life prediction: A comprehensive review from an industrial application perspective
J Chen, R Huang, Z Chen, W Mao, W Li
Mechanical Systems and Signal Processing 193, 110239, 2023
282023
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