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Jun Zhu / 朱军
Jun Zhu / 朱军
Associate Professor, School of Civil Aviation, Northwestern Polytechnical University
Подтвержден адрес электронной почты в домене nwpu.edu.cn - Главная страница
Название
Процитировано
Процитировано
Год
Estimation of bearing remaining useful life based on multiscale convolutional neural network
J Zhu, N Chen, W Peng
IEEE Transactions on Industrial Electronics 66 (4), 3208-3216, 2018
3432018
Multi-scale deep intra-class transfer learning for bearing fault diagnosis
X Wang, C Shen, M Xia, D Wang, J Zhu, Z Zhu
Reliability Engineering & System Safety 202, 107050, 2020
1172020
A new data-driven transferable remaining useful life prediction approach for bearing under different working conditions
J Zhu, N Chen, C Shen
Mechanical Systems and Signal Processing 139, 106602, 2020
1142020
A new deep transfer learning method for bearing fault diagnosis under different working conditions
J Zhu, N Chen, C Shen
IEEE Sensors Journal 20 (15), 8394-8402, 2019
1142019
A new multiple source domain adaptation fault diagnosis method between different rotating machines
J Zhu, N Chen, C Shen
IEEE Transactions on Industrial Informatics 17 (7), 4788-4797, 2020
532020
Bearing fault diagnosis based on an improved morphological filter
Z Hu, C Wang, J Zhu, X Liu, F Kong
Measurement 80, 163-178, 2016
482016
Adaptive variational mode decomposition based on artificial fish swarm algorithm for fault diagnosis of rolling bearings
J Zhu, C Wang, Z Hu, F Kong, X Liu
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2017
472017
Dynamic joint distribution alignment network for bearing fault diagnosis under variable working conditions
C Shen, X Wang, D Wang, Y Li, J Zhu, M Gong
IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2021
332021
Adversarial domain-invariant generalization: A generic domain-regressive framework for bearing fault diagnosis under unseen conditions
L Chen, Q Li, C Shen, J Zhu, D Wang, M Xia
IEEE Transactions on Industrial Informatics 18 (3), 1790-1800, 2021
282021
A novel Bayesian deep dual network with unsupervised domain adaptation for transfer fault prognosis across different machines
CG Huang, J Zhu, Y Han, W Peng
IEEE Sensors Journal 22 (8), 7855-7867, 2021
72021
Doppler distortion correction based on microphone array and matching pursuit algorithm for a wayside train bearing monitoring system
X Liu, Z Hu, Q He, S Zhang, J Zhu
Measurement Science and Technology 28 (10), 105006, 2017
62017
基于分量筛选奇异值分解的滚动轴承故障诊断方法研究
朱军, 闵祥敏, 孔凡让, 黄伟国, 王超, 胡智勇
振动与冲击 34 (20), 61-65, 2015
52015
Cross-Domain Open-Set Machinery Fault Diagnosis Based on Adversarial Network With Multiple Auxiliary Classifiers
J Zhu, CG Huang, C Shen, Y Shen
IEEE Transactions on Industrial Informatics 18 (11), 8077-8086, 2021
42021
A new deep fusion network for automatic mechanical fault feature learning
Y Qi, C Shen, J Zhu, X Jiang, J Shi, Z Zhu
IEEE Access 7, 152552-152563, 2019
42019
A new transferable bearing fault diagnosis approach with adaptive manifold embedded distribution alignment
P Lei, C Shen, J Zhu, D Wang, X Jiang, Z Zhu
Measurement Science and Technology 32 (3), 034004, 2020
32020
Development of Deep Learning Methods for Prognostics and Health Management
Z Jun
PQDT-Global, 2020
12020
Multi-source Unsupervised Domain Adaptation for Machinery Fault Diagnosis under Different Working Conditions
J Zhu, N Chen, C Shen, D Wang
2020 IEEE 18th International Conference on Industrial Informatics (INDIN) 1 …, 2020
2020
基于时频脊线旋转匹配的多普勒矫正方法研究
刘星辰, 胡智勇, 何清波, 朱军
振动与冲击 36 (17), 29-34, 2017
2017
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