张微，中共党员，硕士生导师(飞行器设计方向)。辽宁省百千万工程人才。天津大学工学博士，曾前往美国Texas A&M University及University of California at Merced进行访问研究。主持国家自然科学基金项目、辽宁省自然科学基金项目、辽宁省教育厅系列项目、国家重点实验室开放项目、博士后面上项目，沈阳航空航天大学博士启动基金项目等5项，参与辽宁省兴辽英才计划等科研项目8项；近年来发表SCI、EI以及国外核心期刊学术论文40余篇，其中SCI论文26篇，ESI高被引论文9篇，热点论文3篇。谷歌学术引用次数1000余次。
研究方向：深度学习、非线性动力学、转子动力学、多目标优化。
主要科研论文：
1. Zhang W, Han B, Li X, et al. Multiple-objective design optimization of squirrel cage for squeeze film damper by using cell mapping method and experimental validation[J]. Mechanism and Machine Theory, 2019, 132: 66-79.
2. Zhang W, Li X, Ding Q. Deep residual learning-based fault diagnosis method for rotating machinery[J]. ISA transactions, 2018, 95: 295-305.
3. Zhang W, Han B, Zhang K, et al. Dynamic Analysis of a Rotor System Supported on Squeeze Film Damper with Air Entrainment[J]. International Journal of Bifurcation and Chaos, 2017, 27(14): 1750212.
4. W. Zhang, Q. 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.
5. W. Zhang, Q. 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.
6. Xiang Li, Wei Zhang, Qian Ding. (2019): Cross-domain fault diagnosis of rolling element bearings using deep generative neural networks. IEEE Transactions on Industrial Electronics, 66:7, 5525-5534.
7. Xiang Li, Wei Zhang, Qian Ding, Xu Li. (2019): Diagnosing rotating machines with weakly supervised data using deep transfer learning. Accepted for printing in: IEEE Transactions on Industrial Informatics. (publisher's declaration of acceptance enclosed)
8. Xiang Li, Wei Zhang, Nan-Xi Xu, Qian Ding. (2019): Deep learning-based machinery fault diagnostics with domain adaptation across sensors at different places. Accepted for printing in: IEEE Transactions on Industrial Electronics. (publisher's declaration of acceptance enclosed)
9. Xiang Li, Wei Zhang, Qian Ding. (2019): Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction. Reliability Engineering & System Safety, 182, 208-218.
10. Xiang Li, Wei Zhang, Qian Ding. (2019): Understanding and Improving Deep Learning-Based Rolling Bearing Fault Diagnosis with Attention Mechanism. Signal Processing, 161, 136-154.
11. Xiang Li, Wei Zhang, Qian Ding, Jian-Qiao Sun. (2019): Multi-layer domain adaptation method for rolling bearing fault diagnosis. Signal Processing, 157, 180-197.
12. Xiang Li, Wei Zhang, Qian Ding, Jian-Qiao Sun. (2018): Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation. Accepted for printing in: Journal of Intelligent Manufacturing. (publisher's declaration of acceptance enclosed)
13. Xiang Li, Wei Zhang, Qian Ding. (2018): A robust intelligent fault diagnosis method for rolling element bearings based on deep distance metric learning. Neurocomputing, 310, 77-95.
14. Wei Zhang, Q. Ding. Torsional Vibration of a Spur Gear System with Time-varying and Square Nonlinearities. ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013: V07BT10A062-V07BT10A062
15. Wei Zhang, Xiang Li, Xiao-Dong Jia, Hui Ma, Zhong Luo, Xu Li. (2020): Machinery Fault Diagnosis with Imbalanced Data Using Deep Generative Adversarial Networks. Measurement, 152, 107377.
16. Wei Zhang, Xiang Li, Xu Li. (2020): Deep Learning-Based Prognostic Approach for Lithium-ion Batteries with Adaptive Time-Series Prediction and On-Line Validation. Measurement, 164: 108052.
17. Wei Zhang, Xiang Li, Xu Li. (2020): Deep Learning-Based Prognostic Approach for Lithium-ion Batteries with Adaptive Time-Series Prediction and On-Line Validation. Measurement, 164: 108052.
18. Xiang Li, Wei Zhang, Hui Ma, Zhong Luo, Xu Li. (2020): Partial Transfer Learning in Machinery Cross-Domain Fault Diagnostics Using Class-Weighted Adversarial Networks. Neural Networks, 129: 313-322.
19. Xiang Li, Wei Zhang, Hui Ma, Zhong Luo, Xu Li. (2020): Deep Learning-Based Adversarial Multi-Classifier Optimization for Cross-Domain Machinery Fault Diagnostics. Journal of Manufacturing Systems, 55: 334-347.
20. Wei Zhang, Xiang Li, Hui Ma, Zhong Luo, Xu Li. (2021): Federated Learning for Machinery Fault Diagnosis with Dynamic Validation and Self-Supervision. Knowledge-Based Systems, 213: 106679.
21. Xiang Li, Wei Zhang. (2021): Deep Learning-Based Partial Domain Adaptation Method on Intelligent Machinery Fault Diagnostics. IEEE Transactions on Industrial Electronics, 68 (5): 4351-4361.
22. Wei Zhang, Xiang Li, Hui Ma, Zhong Luo, Xu Li. (2021): Open Set Domain Adaptation In Machinery Fault Diagnostics Using Instance-Level Weighted Adversarial Learning. IEEE Transactions on Industrial Electronics, 2021.
23. Wei Zhang, Xiang Li, Hui Ma, Zhong Luo, Xu Li. (2021): Universal Domain Adaptation in Fault Diagnostics with Hybrid Weighted Deep Adversarial Learning. IEEE Transactions on Industrial Informatics, 2021.
24. Xiang Li, Wei Zhang, Hui Ma, Zhong Luo, Xu Li. (2021): Degradation Alignment in Remaining Useful Life Prediction Using Deep Cycle-Consistent Learning. IEEE Transactions on Neural Networks and Learning Systems, 2021.
25. Wei Zhang, Xiang Li. (2021): Federated Transfer Learning for Intelligent Fault Diagnostics Using Deep Adversarial Networks with Data Privacy. IEEE/ASME Transactions on Mechatronics, 2021.
26. Wei Zhang, Xiang Li, Hui Ma, Zhong Luo, and Xu Li. (2021): Transfer Learning Using Deep Representation Regularization In Remaining Useful Life Prediction Across Operating Conditions. Reliability Engineering & System Safety, 211: 107556.
主持科研项目情况：
1. 气液两相流挤压油膜阻尼器/转子系统动力学特性研究，11902202，国家自然科学基金项目，2019.8-2012.12，主持。
2. 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，辽宁省自然科学基金，2019.09-2021.09，主持。
3. 基于胞映射算法的定心挤压油膜阻尼器参数优化设计，L201737，辽宁省教育厅系列项目，2017.11-2019.11，主持。
4. 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，国家重点实验室开放项目，2019.6-2021.12，主持。
5. 短轴长挤压油膜阻尼器几何参数多目标优化设计，17YB13，沈阳航空航天大学博士启动基金，2017.11-2020.10，主持。
参与科研项目情况：
1. 基于静偏心激发油膜时变特性提出的新型挤压油膜阻尼器抑振机理研究，52175106，国家自然科学基金，2021-2025。
2. 基于非线性输出频响分析的大型空间结构模态参数在轨辨识研究，2021-MS-267，辽宁省自然科学基金，2021-2024。
3. 静偏心挤压油膜阻尼器的周期时变动力学机理研究，2019ZD0233，辽宁省自然科学基金，2019-2021。
4. 飞行器连续体结构非线性设计与利用，XLYC1807172，辽宁省兴辽英才计划，2019-2021。
5. 一种新型增阻尼抑刚度型挤压油膜阻尼器抑振机理研究，JYT19061，辽宁省教育厅系列项目，2021-2024。
6. 大型固体发动机试车台流场数值模拟研究，开发项目，2018-2019。
7. 基于双向激励试验器的挤压油膜动力特性试验研究，开发项目，2020-2020。
8. 基于封严胀圈关键参数优化的转子系统减振设计技术，开发项目，2021-2022。
