学术方向

工业人工智能

机械装备智能运维

主讲课程

1、理论力学，本科生课程，64学时

2、航空航天工程导论，本科生课程，16学时

学术成果

主持国家自然基金等项目12余项。发表学术论文XX余篇，其中SCI论文40余篇，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。担任期刊IEEE Transactions on Industrial Informatics 副主编，Measurement青年编委。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。先后获得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。

部分代表性科研项目：

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，27万，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，5万元，主持；

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，12万元，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，5 万元，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，主持；

6.XXX无人机设计，国家某部委重点项目，700万元，主持；

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部分代表性论文：

[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). (中科院一区Top)

[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.(中科院二区Top)

[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. (ESI高被引论文；中科院一区Top)

[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. (中科院二区)

[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. (中科院二区)

[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. (ESI 高被引、热点，中科院一区Top)

[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. (ESI 高被引、热点，中科院一区Top)

[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. (ESI 高被引，中科院一区Top)

[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. (ESI 高被引，中科院一区Top)

[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. (ESI 高被引，中科院一区Top)

[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. (中科院三区)

[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. (ESI 高被引，中科院二区Top)

[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. (中科院二区Top)

[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. (ESI 高被引，中科院一区Top)

[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. (中科院一区Top)

[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. (中科院三区)

[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. 中科院二区)

[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. (中科院三区)

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). (中科院三区)

[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. (中科院二区)

[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. (中科院一区Top)

[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. (ESI 高被引、热点，中科院一区Top)

[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. (中科院一区Top)

[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