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

720系书记

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 yl6809永利官网 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 yl6809永利官网 工业与制造系统工程系 副教授

2018.11-2022.6   yl6809永利官网 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

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

软件与编程，本科生课程

科技英语，研究生课程

◆教学及科研成果

（一）承担科研项目：

1.    主持 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.

2.    主持 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

3.    主持 机电伺服机构健康管理演示平台开发，2022-2023

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

5.    主持 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

6.    主持 滚柱摩擦盘性能监测与分析，2020.01—2021.06

7.    主持 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

8.    参与 混合现实装配过程可视化智能引导技术研究，2022-2023

9.    参与 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

10.  参与 液压伺服舵机健康管理监测方法研究，2021.01-2022.01

11.  参与 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*, 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, IF12.2)

2.          Yiwei Wang, Meili Li, Lianyu Zheng, et al. Phyformer: A degradation   physics-informed self-data driven approach to machinery prognostics. Advanced   Engineering Informatics (Q1, IF8.0). 2024(62):102772.

3.          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, IF5.6)

4.          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, IF12.2)

5.          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, IF12.2)

6.     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, IF7.1)

7.     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)

8.     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, IF7.2)

9.     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)

10.    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, IF4.0)

11.     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, IF6.8)

12.    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)

13.    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)  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. 2023.网络首发.

(2)  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. yl6809永利官网学报   2022.

(3)  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.

(4)  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

(5)       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.

(6)       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

(7)       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