彭小圣-华中科技大学电气与电子工程学院

硕士生导师

姓名:彭小圣

职称:讲师

电话:86-027-87543228

电子邮箱:XiaoshengPeng@hust.edu.cn

个人基本情况(主要受教育经历、主要工作经历)

    百度百科词条

    主要受教育经历:

    2002.9-2006.6获华中科技大学本科学位,2006.9-2009.3获华中科技大学硕士学位,2009.2-2012.2在英国国家自然科学基金(EPSRC)的资助下在格拉斯哥卡里多尼亚大学攻读博士学位.

    主要工作经历:

    2012.3-2013.8在英国能源公司(EDF Energy)资助下开展博士后研究,2013年9月回华中科技大学工作。

    Dr. Xiaosheng Peng

    Mobile Phone: 0086-15902781509
    Email: XiaoshengPeng@hust.edu.cn
    Academic Areas: Electrical Engineering

    Baidu Encyclopedia Profile

    Dr. Xiaosheng Peng is a lecturer of School of Electrical and Electronic Engineering in Huazhong University of Science and Technology. His research interests span big data theory and its application in power system, condition monitoring of power apparatuses, partial discharge detection and pattern recognition, new and renewable energy power prediction. He has borne projects from EDF Energy (UK), Engineering and Physical Science Research Council (EPSRC, UK), National Natural Science Foundation of China (NSFC, China), State Grid Corporation of China, China Electric Power Research Institute, etc. He is the member of IEEE and IET.

    Academic Degrees

    PhD, 2012, Glasgow Caledonian University, UK;

    MSc, 2009, Huazhong University of Science and Technology, China;

    BEng, 2006, Huazhong University of Science and Technology, China.

    Professional Experience

    Huazhong University of Science and Technology, School of Electrical and Electronic Engineering, Lecturer (2013-present);

    Glasgow Caledonian University, UK, School of Engineering and Built Environment, Research Assistant (2012-2013).

    Selected Publications

    1.      Xiaosheng Peng, Jinyu Wen, Zhaohui Li, Guangyao Yang, Chengke Zhou, Alistair Reid, Donald M. Hepburn, Martin D. Judd, W. H. Siew. SDMF based Interference Rejection and PD Interpretation for Simulated Defects in HV Cable Diagnostics, IEEE Transactions on Dielectrics and Electrical Insulation, 201724(1): 83-91.

    2.      Xiaosheng Peng, Jinyu Wen, Zhaohui Li, Guangyao Yang, Chengke Zhou, Alistair Reid, Donald M. Hepburn, Martin D. Judd, W. H. Siew. Rough Set Theory Applied to Pattern Recognition of Partial Discharge in Noise Affected Cable Data. IEEE Transactions on Dielectrics and Electrical Insulation, 2017,24(1):147-156.

    3.      Xiao Hu, W. H. Siew, Martin D. Judd, Xiaosheng Peng, Transfer Function Characterization for HFCTs used in Partial Discharge Detection, IEEE Transactions on Dielectrics and Electrical Insulation, 2017, 24(2):1088-1096.

    4.      Xiaosheng Peng, Lei Xiong, Jinyu Wen, Shijie Cheng, Diyuan Deng, Shuanglei Feng, Bo Wang, A Summary of the State of the Art for Short-term and Ultra-short-term Wind Power Prediction of Regions, Proceedings of the Chinese Society for Electrical Engineering, 2016, 36(23):6315-6326.

    5.      Xiaosheng Peng, Diyuan Deng, Shijie Cheng, Jinyu Wen, Zhaohui Li, Lin Niu, Key Technologies of Electric Power Big Data and Its Application Prospects in Smart Grid, Proceedings of the Chinese Society for Electrical Engineering, 2015, 35(3):503-511.

    6.      Xiaosheng Peng, Chengke Zhou, Donald M. Hepburn, Martin D Judd, W. H. Siew, Application of K-Means Method to Pattern Recognition in On-line Cable Partial Discharge Monitoring, IEEE Transactions on Dielectrics and Electrical Insulation, 2013, 20(3):754-761.

    7.      Xiaoping Jing, Xiaosheng Peng, Wei Jiang, Wenjun Zhou, Chengke Zhou, Zeyang Tang, Phase Resolved Partial Discharge Pattern Recognition Method for On-line Cable Condition Monitoring System Based on K-Means Clustering, High Voltage Engineering, 2012, 38(9):2437-2446.

    8.    Xiang Dong,Xiaoping Jing,Kequn Qian,Wei Jiang,Chengke Zhou,Xiaosheng Peng, A Smart Grid Needs Smart Monitoring,International Journal of Smart Grid and Clean Energy, 2013, 2(3):322-328.

    Courses Taught

    · Power System Automation


研究领域


学术兼职/承担的项目与课题


代表性成果(近年的教学和科研成果、专著与论文、专利、获奖)

1.      Xiaosheng Peng, Jinyu Wen, Zhaohui Li, Guangyao Yang, Chengke Zhou, Alistair Reid, Donald M. Hepburn, Martin D. Judd, W. H. Siew. SDMF based Interference Rejection and PD Interpretation for Simulated Defects in HV Cable Diagnostics, IEEE Transactions on Dielectrics and Electrical Insulation, 201724(1): 83-91.

2.      Xiaosheng Peng, Jinyu Wen, Zhaohui Li, Guangyao Yang, Chengke Zhou, Alistair Reid, Donald M. Hepburn, Martin D. Judd, W. H. Siew. Rough Set Theory Applied to Pattern Recognition of Partial Discharge in Noise Affected Cable Data. IEEE Transactions on Dielectrics and Electrical Insulation, 2017,24(1):147-156.

3.      Xiao Hu, W. H. Siew, Martin D. Judd, Xiaosheng Peng, Transfer Function Characterization for HFCTs used in Partial Discharge Detection, IEEE Transactions on Dielectrics and Electrical Insulation, 2017,24(2):1088-1096.

4.      彭小圣,熊磊,文劲宇,程时杰,邓迪元,冯双磊,王勃,风电集群短期及超短期功率预测精度改进方法综述,中国电机工程学报,2016.10.01,36(23):6315-6326.

5.      彭小圣,邓迪元,程时杰,文劲宇,李朝晖,牛林,面向智能电网应用的电力大数据关键技术,中国电机工程学报,2015.2.5353):503-511.

6.      Xiaosheng Peng, Chengke Zhou, Donald M. Hepburn, Martin D Judd, W. H. Siew, Application of K-Means Method to Pattern Recognition in On-line Cable Partial Discharge Monitoring, IEEE Transactions on Dielectrics and Electrical Insulation, 2013, 20(3):754-761.

7.      Xiaoping Jing, Xiaosheng Peng, Wei Jiang, Wenjun Zhou, Chengke Zhou, Zeyang Tang, Phase Resolved Partial Discharge Pattern Recognition Method for On-line Cable Condition Monitoring System Based on K-Means Clustering, High Voltage Engineering, 2012, 38(9):2437-2446.

8.     Xiang Dong,Xiaoping Jing,Kequn Qian,Wei Jiang,Chengke Zhou,Xiaosheng Peng,A Smart Grid Needs Smart Monitoring,International Journal of Smart Grid and Clean Energy, 2013, 2(3):322-328.