详情介绍：

张微，教授，硕士生导师，毕业于天津大学机械工程学院一般力学专业，美国德州农工大学联合培养博士，加州大学Merced分校访问学者。主要研究方向为工业人工智能、机械装备智能运维等，入选科睿唯安全球高被引学者、全球前2%顶尖科学家终身科学影响力榜单、英国皇家物理学会百年会刊 Emerging Leader、辽宁省百千万工程人才、沈阳市优秀科技工作者。主持国家自然科学基金、教育部国际合作基金等项目，担任期刊Measurement、Journal of Dynamics, Monitoring and Diagnostics青年编委，发表ESI高被引论文13篇、ESI热点论文4篇，谷歌学术引用7600次以上，H指数39，获2023年中国振动工程学会科学技术奖基础研究二等奖、2022年辽宁省科学技术自然科学二等奖、2023及2024年度辽宁省高校教师教学创新大赛二等奖等奖项。

研究方向：工业人工智能、重大装备智能运维。

主要科研论文：

1. Wei Zhang, Hongshen Hao, Yewei Zhang*. State of charge prediction of lithium-ion batteries for electric aircraft with swin transformer. IEEE/CAA Journal of Automatica Sinica (2024).

2. Wei Zhang, Mingze Xu, Huixin Yang, et al. Data-driven deep learning approach for thrust prediction of solid rocket motors. Measurement 225 (2024): 114051.

3. Wei Zhang, Ziwei Wang, Xiang Li. Blockchain-based decentralized federated transfer learning methodology for collaborative machinery fault diagnosis, Reliability Engineering & System Safety, 2023, 229, 0.

4. Wei Zhang, Xiang Li. Data privacy preserving federated transfer learning in machinery fault diagnostics using prior distributions, Structural Health Monitoring, 2022, 21(4):1329-1344.

5. Wei Zhang, Jiaxuan Zhang, Xiang Li. Deep learning-based information fusion methodology for oil film coefficient identification of squeeze film dampers, IEEE Sensors Journal, 2022, 22(21):20816-20827.

6. Wei Zhang, Xiang Li. Federated transfer learning for intelligent fault diagnostics using deep adversarial networks with data privacy, IEEE/ASME Transactions on Mechatronics, 2022,27(1):430-439.

7. Wei Zhang, Xiang Li, Hui Ma, et al. Universal domain adaptation in fault diagnostics with hybrid weighted deep adversarial learning, IEEE Transactions on Industrial Informatics, 2021, 17(12):7957-7967.

8. Wei Zhang, Xiang Li, Hui Ma, et al.Open set domain adaptation in machinery fault diagnostics using instance-level weighted adversarial learning, IEEE Transactions on Industrial Informatics, 2021, 17(11):7445-7455.

9. Wei Zhang, Xiang Li, Hui Ma, et al. Federated learning for machinery fault diagnosis with dynamic validation and self-supervision, Knowledge-Based Systems, 2021, 213(15):106679.1-15.

10. Wei Zhang, Xiang Li, Hui Ma, et al. Transfer learning using deep representation regularization in remaining useful life prediction across operating conditions, Reliability Engineering & System Safety, 2021, 211(6): 107556.1-13.

11. Wei Zhang, Bingbing Han, Xiang Li, et al. Multi objective system optimization method and experimental validation of a centralized squeeze film damper using a cell mapping method considering, Engineering Optimization, 2021, 53(4): 941-961.

12. Wei Zhang, Xiang Li, Xiaodong Jia, et al. Machinery fault diagnosis with imbalanced data using deep generative adversarial networks, Measurement, 2020,152, 107377.1-12.

13. 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.

14. 张微, 韩兵兵，李响，等. 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: 68-74.

15. Wei Zhang, Xiang Li, Qian Ding. Deep residual learning-based fault diagnosis method for rotating machinery, ISA Transactions, 2019, 95:295-305.

16. Wei Zhang, Bingbing Han, Xiang Li, et al. 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.

17. Wei Zhang, Bingbing Han, Qian Ding, et al. Dynamical analysis of an elastic ring squeeze film damper-rotor system, International Journal of Bifurcation and Chaos, 2019, 131: 406-419.

18. Wei Zhang, Qian Ding. Elastic ring deformation and pedestal contact status analysis of elastic ring squeeze film damper, Journal of Sound & Vibration, 2015(346):314-327.

19. 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, 6(01): 26-77.

通讯作者

1. Huixin Yang, Zijian Xiang, Wei Zhang*, et al. "An improved GAN-Based data augmentation model for addressing data scarcity in SRMs." Measurement Science and Technology (2025).

2. Yafei Zhu, Yewei Zhang, Wei Zhang*, et al. Cross-domain prognostic method of lithium-ion battery in new energy electric aircraft with domain adaptation, IEEE Sensors Journal, 2023, 23(13):14487-14498.

3. Xiang Li, Wei Zhang*, Hui Ma, et al. Degradation alignment in remaining useful life prediction using deep cycle-consistent learning, IEEE Transactions on Neural Networks and Learning Systems, 2021,197(7):105843.1-13.

4. Xiang Li, Wei Zhang*. Deep learning-based partial domain adaptation method on intelligent machinery fault diagnostics, IEEE Transactions on Industrial Electronics, 2021,68(5):4351-4361.

5. Xiang Li, Wei Zhang*, Hui Ma, et al. Partial transfer learning in machinery cross-domain fault diagnostics using class-weighted adversarial networks, Neural Networks, 2020, 129:313-322.

6. Xiang Li, Wei Zhang*, Hui Ma, et al. Deep learning-based adversarial multi classifier optimization for cross-domain machinery fault diagnostics, Journal of Manufacturing Systems, 2020, 55: 334-347.

主持科研项目情况：

1. 国家自然科学基金青年项目：气液两相流挤压油膜阻尼器/转子系统动力学特性研究，2020-01 ~ 2022.12，主持

2. 教育部“春晖计划”国际合作项目：数据驱动型折纸机器人在线自适应优化的动力学特性预测方法研究，2023--2025

3. 中国博士后科学基金面上项目：基于深度学习的挤压油膜阻尼器油膜参数识别方法研究，2019-01 ~ 2022-12，主持

4. 辽宁省自然科学基金面上项目：大数据驱动的新能源电动飞机锂电池系统健康状态预测方法研究，2022-10 ~ 2024-09，主持

5. 浪潮云洲工业互联网有限公司委托项目：旋转机械设备健康状态监测与剩余寿命预测算法开发，2023-12~2025-12，主持