出生年月

1988-11

职称

副教授

学历

博士

电话

办公室

新主楼A506

系别

工业及制造系统工程系

职务

无

电子信箱

wangyiwei@buaa.edu.cn

传真

个人主页

◆学习经历

2013.9-2017.8 法国图卢兹国立应用科学学院(INSA de Toulouse)，机械工程系，博士

2010.9-2013.6 北京航空航天大学 机械工程及自动化学院，工业及制造系统工程系，硕士

2006.9-2010.6 北京交通大学 机械及电子控制工程学院，机械工程及自动化，学士

◆工作经历

2022.6-至今 北京航空航天大学 工业与制造系统工程系 副教授

2018.11-2022.6 北京航空航天大学 工业与制造系统工程系，助理教授

2016.8-2016.11 美国佛罗里达大学 机械与航空工程系 访问学者

◆研究领域

智能制造；智能运维；混合现实辅助装配；工业智能方法与应用；工业软件与智能系统

◆ 荣誉及奖励

2025年 全国三维数字化创新设计大赛数字化设计与制造专项赛北京赛区特等奖，指导教师

2025年 全国三维数字化创新设计大赛工业机器人专项赛北京赛区一等奖，指导教师

2023年 智能制造创新大赛二等奖“可穿戴混合现实设备辅助的航空航天大型产品协同智能装调技术及系统”

2023年 NSFC-RGC工业大数据与智能系统前沿会议 最佳论文奖

2022年 北航“青年拔尖人才支持计划”

2022年 北航优秀硕士学位论文(指导老师)

2022年 北京市优秀本科毕业设计论文（指导老师）

2019年 第49届计算机与工业工程国际会议最佳论文奖

◆开授课程

本科生课程：软件与AI辅助编程，工业智能方法及应用

研究生课程：科技英语

◆教学及科研成果

（一）承担科研项目：

1.国家科技重大07专项 知识数据融合驱动的数控机床故障诊断与视情维修. 2025-2027.

2.ZF慧眼行动应用转化项目 可穿戴增强现实设备辅助的智能装配技术. 2023-2025.

3.国家自然科学基金（面上项目） 非精确机理引导自数据驱动的航天机电伺服系统自适应退化预测与诊断，2024-2027

4.机电伺服机构健康管理演示平台开发，2022-2023

5.航天科技集团开放基金. xxxxx诊断与预测方法研究，2021-2023.

6.国家自然基金（青年项目），基于深度学习的精密滚珠丝杠副服役性能退化过程状态评估及预测方法研究，批准号：51805262，2019-2021

7.滚柱摩擦盘性能监测与分析，2020.01—2021.06

8.国家科技重大专项04专项，《特种典型零部件制造领域国产数控系统换脑工程》子课题，立项号：2017ZX04011001，2017-2019

9.混合现实装配过程可视化智能引导技术研究，2022-2023

10.国家重点研发计划,基于数字孪生的生产系统全要素实体精准建模，执行期2020.11-2023.10

11.液压伺服舵机健康管理监测方法研究，2021.01-2022.01

12.jkw, ***传动典型构件表面完整性调控方法研究，2021.05-2025.04

（二）发表学术论文:

【一作/通讯SCI期刊论文】

1.Binbin Wang, Lianyu Zheng, Yiwei Wang*. LLM-based multi-agent task planning for human-robot collaborative assembly balancing operator experience and efficiency. Journal of Manufacturing System. 2025(82):1020-1045. (Q1 IF14.2)

2.Binbin Wang, Lianyu Zheng, Yiwei Wang*. Context-aware AR adaptive information push for product assembly: Aligning information load with human cognitive abilities. Advanced Engineering Informatics. 2025(64):103086. (Q1, IF9.9).

3.Jian Zhou, Lianyu Zheng, Yiwei Wang*. Collaborative optimization for multirobot manufacturing system reliability through integration of SysML simulation and maintenance knowledge graph. Journal of Manufacturing System. 2025(80): 749-775. (Q1 IF14.2)

4.Binbin Wang, Lianyu Zheng, Yiwei Wang*, Wei Fang, Lihui Wang. Towards the industry 5.0 frontier: Review and prospect of XR in product assembly. Journal of Manufacturing System.2024(74):777-811. (Q1, IF14.2)

5.Yiwei Wang, Meili Li, Lianyu Zheng, et al. Phyformer: A degradation physics-informed self-data driven approach to machinery prognostics. Advanced Engineering Informatics (Q1, IF9.9). 2024(62):102772.

6.Jian Zhou, Lianyu Zheng, Yiwei Wang*, Chen Wang, Robert X.Gao. Automated model generation for machinery fault diagnosis based on reinforcement learning and neural architecture search. IEEE Transactions on Instrumentation and Measurement. 2022. (Q1, IF5.9)

7.Yiwei Wang, Lei Deng, Lianyu Zheng, Robert X. Gao. Temporal convolutional network with soft thresholding and attention mechanism for machinery prognostics. Journal of Manufacturing System.2021(60):512-526. (Q1, IF14.2)

8.Yahui Wang, Lianyu Zheng, Yiwei Wang*. Event-driven tool condition monitoring methodology considering tool life prediction based on industrial internet. Journal of Manufacturing Systems, 2020. 58(Part A):205-222. (Q1, IF14.2)

9.Yiwei Wang, Jian Zhou, Lianyu Zheng. An end-to-end fault diagnostics method based on convolutional neural network for rotating machinery with multiple case studies. Journal of Intelligent Manufacturing. 2020. (Q1, IF7.4)

10.Jian Zhou, Lianyu Zheng, Yiwei Wang*. A multistage deep transfer learning method for machinery fault diagnostics across diverse working conditions and devices. IEEE Access, 2020. 8:80879-80898. (Q2, IF3.4)

11.Yiwei Wang, Christian Gogu, Nam Ho Kim*, Raphael Haftka, Nicolas Binaud, Christian Bes, Noise-dependent ranking of prognostics algorithms based on discrepancy without true damage information, Reliability Engineering & System Safety, in press vol (184), April 2019, pp.86-100. (Q1, IF11)

12.Yiwei Wang, Christian Gogu, Nicolas Binaud*, Christian Bes, Jian Fu, A model-based prognostics method of fatigue crack growth in fuselage panels, Chinese Journal of Aeronautics, Vol (32), February 2019, pp. 396-408. (Q1, IF4.0)

13.Yiwei Wang, Christian Gogu, Nicolas Binaud, Chritian Bes, Raphael Haftka, Nam Ho Kim, A cost driven predictive maintenance policy for structural airframe maintenance, Chinese Journal of Aeronautics, 30 (2017) 1242-1257. (Q1, IF5.7)

14. Yiwei Wang, Nicolas Binaud, Christian Gogu, Christian Bes, Jian Fu, Determination of Paris' law constants and crack length evolution via Extended and Unscented Kalman filter: An application to aircraft fuselage panels, Mechanical Systems and Signal Processing, 80 (2016) 262-281. (Q1, IF8.9)

15.Yiwei Wang, Christian Gogu*, Nicolas Binaud, Christian Bes, Raphael Haftka, Nam Ho Kim, Predictive airframe maintenance strategies using model-based prognostics, Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability, vol(232), Issue(6), 2018. (Q4 IF1.9)

16.Hutian Feng, Rong Chen, Yiwei Wang*, Feature extraction for fault diagnosis based on wavelet packet decomposition: An application on linear rolling guide, Advances in Mechanical Engineering, 10 (2018)

【一作/通讯EI期刊论文】

(1)孟爽，郑联语，张向荣，张智博，王艺玮*.基于几何约束的可重构装配型架修复性装调. 航空学报.2025.

(2)王艺玮,郭琦,刘新玉,郑联语,张向荣,王彬彬,赖小明,李云. 增强装配工艺信息模型驱动的空间展开机构混合现实辅助装配. 机械工程学报. 2025,61(02):371-383.

(3)孙环宇,杨志鹏,王艺玮*,郭琦. 基于自适应参数优化RSSD-CYCBD的行星齿轮箱多故障耦合信号分离及诊断. 北京航空航天大学学报 2022.

(4)周健, 郑联语, 王艺玮*. 面向旋转机械迁移诊断的分层并行网络模型自动创建方法. 机械工程学报 2022.

(5)王艺玮,邓蕾,郑联语,王亚辉. 基于多通道融合及贝叶斯理论的刀具剩余寿命预测方法. 机械工程学报. 2021

(6)张宏博,郑联语,王艺玮*. 基于模块服役状态的盒式连接可重构型架稳定性评估方法. 航空学报 2020.

(7)Yiwei Wang, Jian Zhou, Lianyu Zheng. A convolutional neural networks with strong generalizability for fault diagnostics of rotating machinery. The 49^th International Conference on Computers & Industrial Engineering. 2019. 获会议最佳论文奖

(8)Yiwei Wang, Christian Gogu, Nicolas Binaud, Christian Bes, Predicting remaining useful life by fusing SHM data based on Extended Kalman Filter, 25th European safety and reliability conference, Taylor & Francis, 2015, pp. 7-10.

【其他论文】

(1)Xinyu Liu, Lianyu Zheng, Yiwei Wang, et al. Human-centric collaborative assembly system for large-scale space deployable mechanism driven by Digital Twins and wearable AR devices. Journal of Manufacturing System. 2022(65):720-742.

(2)Yahui Wang, Yiwei Wang, Lianyu Zheng, Jian Zhou. Online surface roughness prediction for assembly interfaces of vertical tail integration tool wear under variable cutting parameters. Sensors. 2022, 22, 1991.

(3)Zewu An, Yiwei Wang, Lianyu Zheng, Xinyu Liu. Adaptive recognition of intelligent inspection system for cable brackets in multiple assembly scenes. The International Journal of Advanced Manufacturing. 2020. 108:3373-3389.

(4)Shufei Li, Lianyu Zheng, Yiwei Wang. Mating portions inspection based on deep learning and multipoint sequencing for assembly aviation wires with connectors. The 49^th International Conference on Computers & Industrial Engineering.

(5)Shufei Li, Lianyu Zheng, Yiwei Wang. Reading Aviation Wire Text in Natural Images under Assembly Workshop via Deeplearning[C]. IOP Conf. Series: Materials Science and Engineering: Conf. Series 563 (2019) 042075

(6)Lea Dominique Cot, Yiwei Wang, Christian Bes, Christian Gogu, Scheduled and SHM Structure Airframe Maintenance Applications Using a New Probabilistic Model,7th European Workshop on Structural Health Monitoring, Nantes, France.

(三) 软著&专利：

软件著作权：

1. 《旋转机械装备边云结合运维数字孪生系统》 2021

2. 《旋转机械智能运维系统》 2020

3. 《伺服机构状态监测与健康管理系统》 2023

4. 《旋转机械便携式边缘端状态监测与故障诊断系统》 2023

授权专利：

1. 基于强化学习的旋转机械诊断网络自动搜索方法. ZL202110234810.3

2. 基于对抗训练和迁移学习的旋转机械剩余寿命预测混合收缩方法. ZL202110234849.5

◆学术与社会服务

l机械工程学会工业大数据与智能系统分会第一届委员会 委员

l中国图学学会第八届理事智能工厂专业委员会 常务委员

l机械工程学会高级会员

l中国图学学会高级会员

l航空学报、“Smart Structures and Systems”、“Advances in Mechanical Engineering”，“Chinese Journal of Aeronautics” Reliability Engineering and System Safety, IEEE Transactions on Industrial Electronics等EI/SCI期刊审稿人

Educations

2006.9-2010.7 Beijing Jiaotong University, Mechanical Engineering and Automation, B.S., Beijing, China.

2010.9-2013.6 Beihang University, Industrial and Manufacturing System Engineering, M.S., Beijing, China.

2013.9-2017.8 Institut National des Sciences Appliquées de Toulouse, Mechanical Engineering, Ph.D, Toulouse, France.

2016.8-2016.11 University of Florida, Department of Mechanical and Aerospace Engineering, visiting scholar.

Work experiences

2018.11-present, Beihang University, assistant professor.

2017.8-2018.10, Nanjing University of Science and Technology.

Research Interests

Intelligent fault diagnostics, prognostics and health management, model-based and data-driven prognostics approaches, cyber-physical system, AI in industry.

Publications

Journal paper

Accepted:

(1) Yiwei Wang, Christian Gogu, Nicolas Binaud*, Christian Bes, Jian Fu, A model-based prognostics method of fatigue crack growth in fuselage panels, Chinese Journal of Aeronautics, Vol (32), February 2019, pp. 396-408.

(2) Yiwei Wang, Christian Gogu*, Nicolas Binaud, Christian Bes, Raphael Haftka, Nam Ho Kim, Predictive airframe maintenance strategies using model-based prognostics, Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability, vol(232), Issue(6), 2018.

(3) Hutian Feng, Rong Chen, Yiwei Wang*, Feature extraction for fault diagnosis based on wavelet packet decomposition: An application on linear rolling guide, Advances in Mechanical Engineering, 10 (2018)

(4) Yiwei Wang, Christian Gogu, Nam Ho Kim*, Raphael Haftka, Nicolas Binaud, Christian Bes, Noise-dependent ranking of prognostics algorithms based on discrepancy without true damage information, Reliability Engineering & System Safety, in press vol (184), April 2019, pp.86-100.

(5) Yiwei Wang, Christian Gogu, Nicolas Binaud, Chritian Bes, Raphael Haftka, Nam Ho Kim, A cost driven predictive maintenance policy for structural airframe maintenance, Chinese Journal of Aeronautics, 30 (2017) 1242-1257.

(6) Yiwei Wang, Nicolas Binaud, Christian Gogu, Christian Bes, Jian Fu, Determination of Paris' law constants and crack length evolution via Extended and Unscented Kalman filter: An application to aircraft fuselage panels, Mechanical Systems and Signal Processing, 80 (2016) 262-281.

Conference paper

(1) Yiwei Wang, Christian Gogu, Nicolas Binaud, Christian Bes, Predicting remaining useful life by fusing SHM data based on Extended Kalman Filter, 25th European safety and reliability conference, Taylor & Francis, 2015, pp. 7-10.

(2) Lea Dominique Cot, Yiwei Wang, Christian Bes, Christian Gogu, Scheduled and SHM Structure Airframe Maintenance Applications Using a New Probabilistic Model,7th European Workshop on Structural Health Monitoring, Nantes, France.

(3) Yiwei Wang, Jian Zhou, Lianyu Zheng. A convolutional neural networks with strong generalizability for fault diagnostics of rotating machinery. The 49^th International Conference on Computers & Industrial Engineering. 获最佳论文奖

(4) Shufei Li, Lianyu Zheng, Yiwei Wang. Mating portions inspection based on deep learning and multipoint sequencing for assembly aviation wires with connectors. The 49^th International Conference on Computers & Industrial Engineering.

(5) Shufei Li, Lianyu Zheng, Yiwei Wang. Reading Aviation Wire Text in Natural Images under Assembly Workshop via Deeplearning[C]. IOP Conf. Series: Materials Science and Engineering: Conf. Series 563 (2019) 042075

(6) Yiwei Wang, Nam Ho Kim, Raphael Haftka, Physics-based prognostics-promises and challenges. Proceedings of the Asia Pacific Conference of the Prognostics and Health Management Society 2017

(7) Yiwei Wang, Christian Gogu, Nicolas Binaud, Christian Bes, Comparing structural airframe maintenance strategies based on probabilistic estimates of the remaining useful service life