Ph.D., Associate Professor
E-mail: xiaoshengpeng@hust.edu.cn
RESEARCH AREAS AND COURSES
ü Artificial intelligent and its application in power system
ü Big data and deep learning based condition monitoring of power apparatuses
ü Partial discharge detection and pattern recognition of high voltage cables
ü Wind power prediction of wind farm and wind farm clusters based on data mining
EDUCATION
ü Doctor (2009/2-2012/2) — Glasgow Caledonian University (UK),
ü Master (2006/9-2009/2) — Huazhong University of Science and Technology (China),
ü Bachelor (2002/9-2006/7) — Huazhong University of Science and Technology (China).
WORK EXPERIENCE
ü 2013/9-2019/9 Huazhong University of Science & Technology, School of Electrical and Electronic Engineering, Lecturer, Associate Professor
ü 2012/2-2013/9 Glasgow Caledonian University, Postdoctoral Research Fellow
SELECTED PUBLICATIONS
Ø JOURNAL
1. Xiaosheng Peng, Jinshu Li, etal, Random Forest Based Optimal Feature Selection for Partial Discharge Pattern Recognition in HV Cables, IEEE Transactions on Power Delivery, 34(4):1715-1724, 2019.
2. Xiaosheng Peng, Fan Yang, etal, A Convolutional Neural Network Based Deep Learning Methodology for Recognition of Partial Discharge Patterns from High Voltage Cables, IEEE Transactions on Power Delivery, 34(4):1460-1469, 2019.
3. Xiaosheng Peng, Jinyu Wen, etal, SDMF based Interference Rejection and PD Interpretation for Simulated Defects in HV Cable Diagnostics, IEEE Transactions on Dielectrics and Electrical Insulation, 24(1): 83-91, 2017.
4. Xiaosheng Peng, Jinyu Wen, etal, Rough Set Theory Applied to Pattern Recognition of Partial Discharge in Noise Affected Cable Data, IEEE Transactions on Dielectrics and Electrical Insulation, 24(1):147-156, 2017.
5. 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, 20(3): 754-761, 2013.
RESEARCH PROJECTS
ü 2009-2012: EPSRC(UK) research project: Knowledge Discovery from On-line Cable Condition Monitoring Systems--Insulation Degradation and Aging Diagnostics
ü 2011-2013: EDF Energy research project: Development and Provision of a Bespoke, Portable, Partial Discharge Based Cable Condition Monitoring System for EDF Energy
ü 2017-2018: Rolls-Royce research project: High Voltage Electrical Tests of Isothermally Aged Enamel Wires Used in Marine Electrical Machines
ü 2018-2020: China Southern Grid research project: Multi-points Synchronization Partial Discharge Detection Technology of High Voltage Cables Based on Built-in Sensor
ü 2018-2021: National Key R&D Program of China: Technology and application of wind power / photovoltaic power prediction for promoting renewable energy consumption (2018YFB0904200).
HONORS AND AWARDS
ü 2017, Frontrunner 5000: Top Articles in Outstanding S&T Journals of China
ü 2016, Best Paper Awards for IEEE PES CICED 2016
ü 2012, EDF Energy Research Fellowship
ü 2012, EPSRC Research Fellowship
ü 2011, EDF Energy Scholarship
ü 2010, British Energy Scholarship
ü 2009, EPSRC Full Scholarship (3 Years)
ACADEMIC PARTICIPATION
ü Member of IEEE
ü Member of IET
ü Member of IEC Working Group TC 8/SC 8A WG2