Name
Niu HaiqingAssociate Professor
Adimissions
High Voltage Insulation Engineering;
Electrical Engineering
Phone Number
13922778359
E-mailniuhq@scut.edu.cn; 149607978@qq.com
Address
School of Electric Power, South China University of Technology, No.381, Wushan Road, Tianhe District, Guangzhou.
Educational Experience
1988-1992:Obtained a bachelor’s degree of Electrical Machinery and Its Control in Tianjin University
1999-2002:Obtained a master’s degree of High Voltage Insulation Engineering in Shenyang University of Technology
2005-2009:Obtained a doctor’s degree of Power System and Automationin South China University of Technology
2007-2008:Studied in High voltage and Materials Laboratory inBologna University as a visiting scholar
Research Area
Dynamic evaluation of load capacity of power cable
Research on monitoring technology of electrical insulation
Research on condition-based evaluation and maintenance of electrical equipment
Representative Scientific Research Project
Presided over 3 key projects ofSouthern Power Grid, 2 key projects of Guangdong Power Grid, and 4 projects other power supply enterprises. Participated in 2 projects of National Natural Science Fund.The total research funds were nearly 10 million:
Research on Strategy of Condition-based Maintnance of Transmission Cable,key projects of Southern Power Grid;
Research on Carrying Capacity and its Software of 10 kV Cable, key projects of Southern Power Grid;
Improving Power Supply Capacity of 10kV Cable, key projects of Guangdong Power Grid;
Research on Partial Discharge on-line Inspection of Medium Voltage, projects of Guangdong Power Grid;
Research on Cable Carrying Capacit, key projects of Guangdong Power Grid
Representative Papersü
Calculation of Cable Temperature Based on Support Vector MachineOptimized by Particle Swarm Algorithm,Journal of South China University of Technology(Natural Science Edition),2016-04,EI20170503292145
Feature extraction and infrared image identification of bushing type cable terminal based on Radon and Fourier-Mellin Transform,Journal of South China University of Technology(Natural Science Edition), 2016-08,EI20162102414339
Meteorological condition of dramatic decline of air gap breakdown voltage,High Voltage Engineering,2014-11,EI20145100335751
Application of adaptive wavelet neural network based on particle swarm optimization algorithm in online pd pattern recognition,Transactions of China Electrotechnical Society,2014-11
Experimental research of relationship between daily load factor and cyclic ampacity of 10 kV XLPE cable, Electric Power Automation Equipment,2014-04, EI20142217774384
A Modified Method of Suppressing Narrow-band Interference Using Fast Fourier Transform Power Spectrum,Proceedings of the Chinese Society of Electrical Engineering,2013-04