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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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【一作/通讯EI论文】\r
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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
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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
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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
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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
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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
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【其他论文】\r
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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
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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
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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
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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