热点话题人物,欢迎提交收录!
最优雅的名人百科,欢迎向我们提交收录。
王艺玮
2023-05-06 10:20
  • 王艺玮
  • 王艺玮 - 副教授-北京航空航天大学-机械工程及自动化学院-个人资料

近期热点

资料介绍

个人简历


学习经历\r
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 \r
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\r
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\r
\r
工作经历\r
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\r
2018.11-2022.6 北京航空航天大学 工业与制造系统工程系,讲师\r
2017.8-2018.10 南京理工大学 机械工程学院 讲师\r
2016.8-2016.11 美国佛罗里达大学 机械与航空工程系 项目合作\r
\r
荣誉及奖励\r
2022年 北航“青年拔尖人才支持计划”\r
2022年 北航优秀硕士学位论文(指导老师)\r
2021年 北航优秀硕士学位论文(协助指导)\r
2022年 优秀本科毕业设计论文(指导老师)\r
2019年 第49届计算机与工业工程国际会议最佳论文奖

研究领域


"复杂系统状态监测诊断预测;智能运维;混合现实;工业智能方法与应用"

近期论文


【一作/通讯SCI期刊论文】\r
\r
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, IF4.0)\r
\r
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, IF8.6)\r
\r
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, IF8.6)\r
\r
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, IF6.4)\r
\r
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)\r
\r
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, IF6.2)\r
\r
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, IF2.8)\r
\r
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, IF2.8)\r
\r
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)\r
\r
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)\r
\r
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)\r
\r
【一作/通讯EI论文】\r
\r
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. 接收\r
\r
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\r
\r
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.\r
\r
Yiwei Wang, Jian Zhou, Lianyu Zheng. A convolutional neural networks with strong generalizability for fault diagnostics of rotating machinery. The 49th International Conference on Computers & Industrial Engineering. 2019. 获会议最佳论文奖\r
\r
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.\r
\r
【其他论文】\r
\r
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.\r
\r
Shufei Li, Lianyu Zheng, Yiwei Wang. Mating portions inspection based on deep learning and multipoint sequencing for assembly aviation wires with connectors. The 49th International Conference on Computers & Industrial Engineering.\r
\r
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\r
\r
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.
“Smart Structures and Systems”、“Advances in Mechanical Engineering”,“Chinese Journal of Aeronautics”等SCI期刊审稿人

相关热点

扫码添加好友