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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
4832018
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
1942020
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
1822020
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
1782019
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
1032020
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
702021
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
582017
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
572021
Bearing fault diagnosis based on an improved morphological filter
Z Hu, C Wang, J Zhu, X Liu, F Kong
Measurement 80, 163-178, 2016
542016
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
312021
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
162021
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
92017
A New Multisource Domain Bearing Fault Diagnosis Method With Adaptive Dual-Domain Obfuscation Weighting Strategy
C Shen, J Tian, J Zhu, J Shi, Z Zhu, D Wang
IEEE Transactions on Instrumentation and Measurement 72, 1-11, 2023
72023
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
72019
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
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
42020
Bearing Fault Diagnosis under Multi-sensor Fusion Based on Modal Analysis and Graph Attention Network
Z Meng, J Zhu, S Cao, P Li, C Xu
IEEE Transactions on Instrumentation and Measurement, 2023
22023
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
12020
Development of deep learning methods for prognostics and health management
Z Jun
PQDT-Global, 2020
12020
Rotating Machinery Fault Diagnosis Under Multiple Working Conditions via A Time Series Transformer Enhanced by Convolutional Neural Network
Z Lu, L Liang, J Zhu, W Zou, L Mao
IEEE Transactions on Instrumentation and Measurement, 2023
2023
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