| 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 | 569 | 2018 |
| 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 | 230 | 2020 |
| 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 | 230 | 2020 |
| 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 | 218 | 2019 |
| 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 | 125 | 2020 |
| 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 | 108 | 2021 |
| 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 | 64 | 2021 |
| 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 | 61 | 2017 |
| Bearing fault diagnosis based on an improved morphological filter Z Hu, C Wang, J Zhu, X Liu, F Kong Measurement 80, 163-178, 2016 | 56 | 2016 |
| 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 | 52 | 2021 |
| 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 | 25 | 2021 |
| 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 | 11 | 2023 |
| 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 | 10 | 2017 |
| 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 | 7 | 2023 |
| 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 | 7 | 2015 |
| 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 | 6 | 2023 |
| 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 | 6 | 2020 |
| 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 | 6 | 2019 |
| A new multisensor partial domain adaptation method for machinery fault diagnosis under different working conditions J Zhu, Y Wang, M Xia, D Williams, CW De Silva IEEE Transactions on Instrumentation and Measurement, 2023 | 3 | 2023 |
| 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 | 1 | 2020 |
Changqing Shen / 沈长青Professor, Soochow University / 苏州大学在 suda.edu.cn 的电子邮件经过验证
