张微，1988年出生，中共党员，副教授。博士毕业于天津大学，主要研究方向：非线性动力学, 转子动力学,智能故障诊断。入选辽宁省百千万工程人才，SCI发表: 一作14篇/通讯4篇；第一作者: ESI高被引2篇/JCR 1区 11篇；通讯作者: ESI热点1篇/高被引1篇/JCR 1区 4篇；主持1项国家基金/3项省部级基金。
电子邮箱：zw_7126257@163.com
工作经历：
2017.7-至今 副教授 - Bet356体育亚洲官网入口Bet356体育亚洲官网入口航天系
2019.9-2021.5 研究员 - 美国加州大学Merced分校
2018.3-至今 博士后 - 天津大学
2015.9-2016.9 博士联合培养 - 美国Texas A&M University
研究兴趣：
非线性动力学--转子动力学, 挤压油膜阻尼器, 振动与控制
数据驱动型动力学--故障诊断, 深度学习
科研项目：
主持国家自然科学基金青年项目 2020-2022
气液两相流挤压油膜阻尼器/转子系统动力学特性研究 11902202
主持博士后面上项目 2019-2022
基于深度学习的挤压油膜阻尼器油膜参数识别方法研究
主持辽宁省自然科学基金 2019-2021
数据驱动挤压油膜阻尼器系统参数辨识方法鲁棒性研究 2019-BS-184
主持辽宁省教育厅基金 2017-2019
基于胞映射算法的定心挤压油膜阻尼器参数优化设计 L201737
主持重点实验室开放基金 2019-2021
两相流挤压油膜阻尼器/转子系统非线性动力学特性及机理研究 VCAME201906
期刊论文：
第一/通讯作者
21. Wei Zhang , Xiang Li*, and Qian Ding, “Deep residual learning-based fault diagnosis method for
rotating machinery”, ISA Transactions, 2019, 95, 295-305. JCR 1区, IF: 5.5 ESI高被引论文
20. Wei Zhang , Xiang Li*, Xiao-Dong Jia, Hui Ma, Zhong Luo, and Xu Li, “Machinery fault
diagnosis with imbalanced data using deep generative adversarial networks”, Measurement, 2020,
152, 107377. JCR 1区, IF: 3.9 ESI高被引论文
19. Wei Zhang , Xiang Li*, Hui Ma, Zhong Luo, Xu Li, “Universal Domain Adaptation in Fault
Diagnostics with Hybrid Weighted Deep Adversarial Learning ”, IEEE Transactions on Industrial
Informatics, 2021, 0, 0. JCR 1区, IF: 10.2
18. Wei Zhang , Xiang Li*, Hui Ma, Zhong Luo, Xu Li, “Open Set Domain Adaptation In Machinery
Fault Diagnostics Using Instance-Level Weighted Adversarial Learning”, IEEE Transactions on
Industrial Informatics, 2021, 17: 11, 7445-7455. JCR 1区, IF: 10.2
17. Wei Zhang , Xiang Li*, Hui Ma, Zhong Luo, Xu Li, “Federated Learning for Machinery Fault
Diagnosis with Dynamic Validation and Self-Supervision”, Knowledge-Based Systems, 2021, 213 ,
106679. JCR 1区, IF: 8.0
16. Xiang Li, Wei Zhang* , “Deep Learning-Based Partial Domain Adaptation Method on Intelligent
Machinery Fault Diagnostics”, IEEE Transactions on Industrial Electronics, 2020, 0 , 0. JCR 1 区 ,
IF: 8.2
15. Wei Zhang , Xiang Li*, Hui Ma, Zhong Luo, Xu Li, “Transfer Learning Using Deep Representation
Regularization In Remaining Useful Life Prediction Across Operating Conditions”, Reliability
Engineering & System Safety, 2021, 211, 107556. JCR 1区, IF: 6.2
14. Xiang Li, Wei Zhang* , Hui Ma, Zhong Luo, Xu Li, “Degradation Alignment in Remaining Useful
Life Prediction Using Deep Cycle-Consistent Learning”, IEEE Transactions on Neural Networks
and Learning Systems, 2021, 0, 0. JCR 1区, IF: 10.5
13. Wei Zhang , Xiang Li*, “Federated Transfer Learning for Intelligent Fault Diagnostics Using
Deep Adversarial Networks with Data Privacy”, IEEE/ASME Transactions on Mechatronics, 2021,
0, 0. JCR 1区, IF: 5.3
12. Wei Zhang , Xiang Li*, “Data privacy preserving federated transfer learning in machinery fault
diagnostics using prior distributions”, Structural Health Monitoring, 2021, 0 , 0. JCR 1 区 , IF: 5.9
11. Wei Zhang , Bing-Bing Han, Xiang Li, Qian Ding* and Jian-Qiao Sun, “Multiple-objective Design
Optimization of Squirrel Cage for Squeeze Film Damper by Using Cell Mapping Method and
Experimental Validation”, Mechanism and Machine Theory, 2019, 132, 66-79. JCR 1区, IF: 3.9
10. Wei Zhang , Xiang Li*, Xu Li, “Deep Learning-Based Prognostic Approach for Lithium-ion
Batteries with Adaptive Time-Series Prediction and On-Line Validation”, Measurement, 2020,
164, 108052. JCR 1区, IF: 3.9
9. Xiang Li, Wei Zhang* , Hui Ma, Zhong Luo, Xu Li, “Deep Learning-Based Adversarial Multi Classifier Optimization for Cross-Domain Machinery Fault Diagnostics”, Journal of Manufacturing Systems, 2020, 55, 334-347. JCR 1区, IF: 8.6
8. Xiang Li, Wei Zhang* , Hui Ma, Zhong Luo, Xu Li, “Partial Transfer Learning in Machinery
Cross-Domain Fault Diagnostics Using Class-Weighted Adversarial Networks”, Neural Networks,
2020, 129, 313-322. JCR 1区, IF: 8.0
7. Wei Zhang, Bingbing Han, Kunpeng Zhang, Qian Ding, “Dynamic Analysis of a Rotor System
Supported on Squeeze Film Damper with Air Entrainment”, International Journal of Bifurcation
& Chaos, 2018, 27 (14), 1750212. JCR 2区, IF: 2.8
6. Wei Zhang , Qian Ding*, “Elastic Ring Deformation and Pedestal Contact Status Analysis of
Elastic Ring Squeeze Film Damper”, Journal of Sound and Vibration, 2015, 346 (1) , 314-327.
JCR 1区, IF: 3.7
5. Wei Zhang , Bingbing Han, Xiang Li*, Jian-Qiao Sun, Qian Ding, “Multi objective system
optimization method and experimental validation of a centralized squeeze film damper using a cell
mapping method considering”, Engineering Optimization, 2020, 0, 0. JCR 2区, IF: 3.2
4. Wei Zhang , Qian Ding*, “Torsion Vibration and Parametric Instability Analysis of a Spur Gear
System with Time-varying and Square Nonlinearities”, International Journal of Applied Mechanics,
2014, 06 (1), 1450007. JCR 2区, IF: 3.2
3. 张微* , 王浩洁 , 丁千 , 马辉 , “ 极低压下两相流挤压油膜阻尼器油膜参数特性 ”, 航空动力学报 , 2020,
3: 35, 560-568.
2. 张微 , 韩兵兵 , 李响 , 孙建桥 , 丁千 *, “ 基于胞映射算法的转子 - 挤压油膜阻尼器系统多目标优化设
计”, 机械工程学报, 2019, 55: 19, 68-74.
1. 张微, 丁千*, “直齿圆柱齿轮啮合耦合振动系统参数振动研究”, 工程力学, 2015, 5, 213-220.
参与论文：
13. Xiang Li, Wei Zhang , Qian Ding, and Xu Li*, “Diagnosing Rotating Machines with Weakly
Supervised Data Using Deep Transfer Learning”, IEEE Transactions on Industrial Informatics,
2020, 16 (3), 1688-1697.
12. Xiang Li*, Wei Zhang , Nan-Xi Xu, and Qian Ding, “Deep Learning-Based Machinery Fault
Diagnostics with Domain Adaptation Across Sensors At Different Places”, IEEE Transactions on
Industrial Electronics, 2020, 67 (8), 6785-6794.
11. Zhifei Han, Zhisai Ma, Wei Zhang , Bingbing Han, Qian Ding*, “Dynamic analysis of an elastic
ring squeeze film damper supported rotor using a semi-analytic method”, Engineering Applications
of Computational Fluid Mechanics, 2020, 14:1, 1263-1278.
10. Xiang Li, Wei Zhang , Hui Ma, Zhong Luo, Xu Li*, “Data Alignments in Machinery Remaining
Useful Life Prediction Using Deep Adversarial Neural Networks”, Knowledge-Based Systems, 2020,
197, 105843.
9. Xiang Li, Xiao-Dong Jia, Wei Zhang , Hui Ma, Zhong Luo, and Xu Li*, “Intelligent cross-machine
fault diagnosis approach with deep auto-encoder and domain adaptation”, Neurocomputing, 2020,
383, 235-247.
8. Xiang Li, Wei Zhang , Hui Ma, Zhong Luo, Xu Li*, “Domain Generalization In Rotating Machinery
Fault Diagnostics Using Deep Neural Networks”, Neurocomputing, 2020, 403, 409-420.
7. Xiang Li*, Wei Zhang , Qian Ding, and Jian-Qiao Sun, “Intelligent rotating machinery fault
diagnosis based on deep learning using data augmentation”, Journal of Intelligent Manufacturing,
2020, 31, 433-452.
6. Xiang Li*, Wei Zhang , and Qian Ding, “Cross-Domain Fault Diagnosis of Rolling Element
Bearings Using Deep Generative Neural Networks”, IEEE Transactions on Industrial Electronics,
2019, 66:7, 5525-5534.
5. Xiang Li*, Wei Zhang , and Qian Ding, “Deep learning-based remaining useful life estimation of
bearings using multi-scale feature extraction”, Reliability Engineering & System Safety, 2019, 182 ,
208-218.
4. Xiang Li*, Wei Zhang , and Qian Ding, “Understanding and Improving Deep Learning-Based
Rolling Bearing Fault Diagnosis with Attention Mechanism”, Signal Processing, 2019, 161 , 136-154.
3. Xiang Li*, Wei Zhang , Qian Ding, and Jian-Qiao Sun, “Multi-Layer domain adaptation method
for rolling bearing fault diagnosis”, Signal Processing, 2019, 157, 180-197.
2. Zhifei Han, Qian Ding*, Wei Zhang , “Dynamical analysis of an elastic ring squeeze film damper-
rotor system”, Mechanism and Machine Theory, 2019, 131, 406-419.
1. Xiang Li*, Wei Zhang , and Qian Ding, “A robust intelligent fault diagnosis method for rolling
element bearings based on deep distance metric learning”, Neurocomputing, 2018, 310, 77-95.
