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陈鹏

姓名:陈鹏

职称:讲师

电子邮件:pengchen@stu.edu.cn

办公地址:机电楼301(I)

主要研究方向:信号处理(多尺度分析,稀疏表征,时频解调),机器学习。


教育背景(按时间倒序排序):

2016/09-2020/12电子科技大学,机械工程, 博士(导师: 左明健)

2019/11-2020/11KU Leuven(鲁汶大学),机械工程系,博士联合培养

2018/03-2018/09University of Pretoria,机械与航空工程系,访问博士生

2014/09-2016/07电子科技大学,机械电子工程,硕博连读(导师: 左明健)


工作经历(按时间倒序排序):

2021.02-至今 汕头大学,讲师

2016/05-2018/12UoG-UESTC Joint School,

·Glasgow Teaching assistant (GTA) in Dynamic Control (Spring 2016, 2017 and 2018) With Dr. Julien Le Kernec

·GTA in Professional Practice (Spring 2018) with Associated Prof. Lei Li,

·GTA in Control (Fall 2017 and 2018) with Associated Prof. Kelum Gamage,

·GTA in Digital Communication (Fall 2016, 2017 and 2018) with Prof. Muhammad Imran and Dr. Sajjad Hussain

2012/09-2014/07中裕摩托车股份有限公司,工程师


科研项目

·国家重点研发计划,2018YFB1702401,物理知识与运行数据驱动的重大装备异常检测与故障诊断,2019/01-2022/12,参与

·国家自然科学基金重点项目,61833002,高速列车运行风险评估及调控基础理论与方法,2019/01-2023/12,参与

·国家自然科学基金面上项目,51375078,行星齿轮传动系统故障诊断与动态可靠性评估研究,2014/01-2017/12,已结题,参与


科研论文

[1]Peng Chen, Yu Li, K. S. Wang, M. J. Zuo, P. S. Heyns, Stephan Baggeröhr, A threshold self­setting condition monitoring scheme for wind turbine generator bearings based on deep convolutional generative adversarial networks, Measurement (2021) Volume 167, 108234.

[2]Peng Chen, Yu Li, K. S. Wang, M. J. Zuo, A novel knowledge transfer network with fluctuating operating conditions adaptation for bearing fault pattern recognition, Measurement (2020) Volume 158, 107739.

[3]Peng Chen, Yu Li, K. S. Wang, M. J. Zuo, An automatic speed adaptation neural networks model for planetary gearbox fault diagnosis under time­ varying operating conditions, Measurement (2021) Volume 171, 108784.

[4]Peng Chen, Yu Li, K. S. Wang, M. J. Zuo, Dongdong Wei, An ameliorated synchroextracting transform based on upgraded local instantaneous frequency approximation. Measurement (2019) Volume 148, 106953.

[5]Peng Chen, K. S. Wang, M. J. Zuo, Recursive mapping demodulation high order synchroextracting transform , Mechanical Systems and Signal Processing, 2021

[6]Peng Chen, K. S. Wang, M. J. Zuo, A generalized synchroextracting transform for fast and strong frequency modulated signal analysis, Condit. Monitor. Diagnost. Eng. Manage. (2018) 189–196.

[7]Peng Chen, K. S. Wang, Ke Feng, Application of order­ tracking Holospectrum to cracked rotor fault diagnostics under nonstationary conditions, in: Prognostics and System Health Management Conference (PHM­Chengdu), 2016, IEEE, pp. 1­6.

[8]Yu Li, Peng Chen, K. S. Wang, Qiang Miao, Deep convolutional autoencoder for wind turbine blades health condition monitoring based on FBG strain gauges measurement, APWSHM 2018, Hong Kong Polytechnic University, Hong Kong.

[9]Ke Feng, K. S. Wang, Peng Chen, Signal selection scheme through order tracking techniques for planetary gearbox condition monitoring, Prognostics and System Health Management Conference (PHM-Chengdu), 2016, IEEE, 2016,pp. 1-5.


发明专利

[1]陈鹏,王科盛,李宇,杨滨源,风机叶片光纤载荷应变特征提取及裂纹监测方法,2019.12.31,中国,CN 108592812 B

[2]陈鹏,王科盛,一种基于二阶同步提取变换的强转速特征提取方法,2018.08.10,中国,CN 108388839 A

[3]王科盛,冯珂,王况,韦冬东,陈鹏,宋理伟,基于轴心轨迹的旋转机械转速计算装置及方法,2019.05.21,中国,CN 106126840 B

[4]王科盛,李宇,陈鹏,何倩鸿,基于深度卷积对抗神经网络的旋转机械在线故障监测方法,2018.10.12,中国,CN 108647786 A

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