刘晨宇教师主页

综合介绍 General Introduction 个人相册

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教育教学

个人经历 personal experience 工作经历 教育经历 2023.04 - 至今          西北工业大学，机电学院，副教授 2017.11 - 2023.02 比利时荷语鲁汶大学，机械工程系，博士2014.09 - 2017.03 西北工业大学，力学与土木建筑学院，工程力学系，硕士2009.09 - 2013.06 西北工业大学，机电学院，航空宇航制造工程系，学士

荣誉获奖

教育教学 Education and teaching 招生信息 航空宇航制造工程 硕士研究生 内容来自dedecms

科学研究

科研成果 Scientific research results 内容来自dedecms

学术成果

团队信息 Team Information 航空宇航装配研究所长期从事航空航天重大装备装配领域研究工作，是某领域科技创新团队和陕西省科技创新团队、工业和信息化部重点实验室。欢迎有志于航空航天事业的本科生、硕士生、博士生、博士后加入我们。 copyright dedecms

综合介绍

学术成果 Academic Achievements 期刊论文：Chenyu Liu, Yannick Meerten, Katrien Declercq, Konstantinos Gryllias (2022). Vibration-based gear continuous generating grinding fault classification and interpretation with deep convolutional neural network. Journal of Manufacturing Processes.Chenyu Liu, Konstantinos Gryllias (2021). Simulation-driven domain adaptation for rolling element bearing fault diagnosis. IEEE Transactions on Industrial Informatics.Chenyu Liu, Konstantinos Gryllias (2020). A semi-supervised support vector data description-based fault detection method for rolling element bearings based on cyclic spectral analysis. Mechanical Systems and Signal Processing.会议论文：Chenyu Liu, Konstantinos Gryllias (2022). A digital twin-assisted deep learning model for rolling element bearing prognostics. In 2022 International Conference on Noise and Vibration Engineering.Chenyu Liu, Konstantinos Gryllias (2021). A deep support vector data description method for anomaly detection in helicopters. In 6th Conference of European PHM Society.Chenyu Liu, Konstantinos Gryllias (2021). Deep one-class method for helicopter anomaly detection based on cyclic spectral analysis. In 19th Australian International Aerospace Congress.Chenyu Liu, Konstantinos Gryllias (2020) Domain adaptation digital twin for rolling element bearing prognostics. In PHM 2020.Chenyu Liu, Alexandre Mauricio, Zhuyun Chen, Katrien Declercq, Yannick Meerten, Yann Vonderscher, Konstantinos Gryllias (2020) Gear grinding monitoring based on deep convolutional neural networks. In IFAC 2020.Chenyu Liu, Konstantinos Gryllias (2020). Unsupervised domain adaptation based remaining useful life prediction of rolling element bearings. In 5th Conference of European PHM Society.Chenyu Liu, Konstantinos Gryllias (2019). A semi-supervised support vector data description-based fault detection method for rolling element bearings based on cyclic spectral coherence. In SURVISHNO 2019 Conference.Dandan Peng, Chenyu Liu, Wim Desmet, Konstantinos Gryllias (2022). A transfer learning-based rolling bearing fault diagnosis across machines. In Annual Conference of the PHM Society 2022.Douw Marx, Chenyu Liu, Jerome Antoni, Konstantinos Gryllias (2022). Deep learning implementations of cyclo-stationary signal processing methods. In 2022 International Conference on Noise and Vibration Engineering.Dandan Peng, Chenyu Liu, Wim Desmet, Konstantinos Gryllias (2022). Semi-Supervised CNN-based SVDD Anomaly detection for condition monitoring of wind turbines. In International Conference on Offshore Mechanics and Arctic Engineering 2022.Zhuyun Chen, Chenyu Liu, Konstantinos Gryllias, Weihua Li (2019). Gearbox fault diagnosis using convolutional neural networks and support vector machines. In 27th European Signal Processing Conference.