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ORCIDJun Zhu 0012
Person information
- affiliation: Northwestern Polytechnical University, Department of Civil Aviation, Xi'an, China
- affiliation (PhD 2020): National University of Singapore, Department of industrial engineering, Singapore
Other persons with the same name
- Jun Zhu — disambiguation page
- Jun Zhu 0001
![[0000-0002-6254-2388]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-6254-2388")
— Tsinghua University, State Key Laboratory of Intelligent Technology and Systems, TNList, Beijing, China (and 2 more) - Jun Zhu 0002 — University of North Carolina at Charlotte, Charlotte, NC, USA
- Jun Zhu 0003 — Technical University of Eindhoven, The Netherlands
- Jun Zhu 0004 — Nanjing Normal University, China
- Jun Zhu 0005 — The University of British Columbia, Department of Electrical and Computer Engineering, Vancouver, BC, Canada
- Jun Zhu 0006 — Xiamen University, Department of Chemistry, China (and 1 more)
- Jun Zhu 0007 — Southwest Jiaotong University, Faculty of Geosciences and Environmental Engineering, Chengdu, China
- Jun Zhu 0008 — Nanjing University of Information Science and Technology, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, China (and 2 more)
- Jun Zhu 0009 — University of Electronic Science and Technology of China, School of Electronic Engineering, Chengdu, China
- Jun Zhu 0010 — Jinling Institute of Technology, Nanjing, China (and 1 more)
- Jun Zhu 0011 — Royal Institute of Technology, Stockholm, Sweden
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Journal Articles
- 2024
[j12]Jun Zhu, Yuanfan Wang, Cheng-Geng Huang, Changqing Shen, Bojian Chen:
A New Incremental Learning for Bearing Fault Diagnosis Under Noisy Conditions Using Classification and Feature-Level Information. IEEE Trans. Instrum. Meas. 73: 1-14 (2024)- 2023
- [j11]Zhiqiang Lu, Longyang Liang, Jun Zhu, Wenhao Zou, Lei Mao:
Rotating Machinery Fault Diagnosis Under Multiple Working Conditions via a Time-Series Transformer Enhanced by Convolutional Neural Network. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [j10]Ziran Meng, Jun Zhu, Shancheng Cao, Pengfei Li, Chao Xu:
Bearing Fault Diagnosis Under Multisensor Fusion Based on Modal Analysis and Graph Attention Network. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j9]Changqing Shen, Jing Tian, Jun Zhu, Juanjuan Shi, Zhongkui Zhu, Dong Wang:
A New Multisource Domain Bearing Fault Diagnosis Method With Adaptive Dual-Domain Obfuscation Weighting Strategy. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [j8]Jun Zhu, Yuanfan Wang, Min Xia, Darren Williams, Clarence W. de Silva:
A New Multisensor Partial Domain Adaptation Method for Machinery Fault Diagnosis Under Different Working Conditions. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - 2022
- [j7]Liang Chen, Qi Li, Changqing Shen, Jun Zhu, Dong Wang, Min Xia:
Adversarial Domain-Invariant Generalization: A Generic Domain-Regressive Framework for Bearing Fault Diagnosis Under Unseen Conditions. IEEE Trans. Ind. Informatics 18(3): 1790-1800 (2022) - [j6]Jun Zhu, Cheng-Geng Huang, Changqing Shen, Yongjun Shen:
Cross-Domain Open-Set Machinery Fault Diagnosis Based on Adversarial Network With Multiple Auxiliary Classifiers. IEEE Trans. Ind. Informatics 18(11): 8077-8086 (2022) - 2021
- [j5]Jun Zhu, Nan Chen, Changqing Shen:
A New Multiple Source Domain Adaptation Fault Diagnosis Method Between Different Rotating Machines. IEEE Trans. Ind. Informatics 17(7): 4788-4797 (2021) - [j4]Changqing Shen, Xu Wang, Dong Wang, Yongxiang Li, Jun Zhu, Mingming Gong:
Dynamic Joint Distribution Alignment Network for Bearing Fault Diagnosis Under Variable Working Conditions. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - 2020
- [j3]Xu Wang, Changqing Shen, Min Xia, Dong Wang, Jun Zhu, Zhongkui Zhu:
Multi-scale deep intra-class transfer learning for bearing fault diagnosis. Reliab. Eng. Syst. Saf. 202: 107050 (2020) - 2019
- [j2]Yumei Qi, Changqing Shen, Jun Zhu, Xingxing Jiang, Juanjuan Shi, Zhongkui Zhu:
A New Deep Fusion Network for Automatic Mechanical Fault Feature Learning. IEEE Access 7: 152552-152563 (2019) - [j1]Jun Zhu, Nan Chen, Weiwen Peng:
Estimation of Bearing Remaining Useful Life Based on Multiscale Convolutional Neural Network. IEEE Trans. Ind. Electron. 66(4): 3208-3216 (2019)
Conference and Workshop Papers
- 2020
- [c1]Jun Zhu, Nan Chen, Changqing Shen, Dong Wang:
Multi-source Unsupervised Domain Adaptation for Machinery Fault Diagnosis under Different Working Conditions. INDIN 2020: 755-762
Coauthor Index
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