Xue Qin
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Xue Qin has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
Gehao Sheng
Department of Electrical Engineering, Shanghai Jiaotong Unversity, Shanghai, China
1 shared publicationLinhui Guo
Department of Electrical Engineering, Shanghai Jiaotong Unversity, Shanghai, China
1 shared publicationPeng Wang
State Grid, Electric Power Research Institute of Electric Power of Henan, Zhengzhou, China
1 shared publicationXiuchen Jiang
Department of Electrical Engineering, Shanghai Jiaotong Unversity, Shanghai, China
1 shared publication- Yadong Liu
Shanghai Jiao Tong University
1 shared publication
Latest Publications
- Open Access
- 29 August 2017
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 6, 7291-7300
Research on Distribution Network Fault Recognition Method Based on Time-Frequency Characteristics of Fault Waveforms
Accurate recognition of distribution line fault types can provide directional guidance for line operation and maintenance personnel. Based on the analysis of time-frequency features of fault waveform, a recognized method of distribution line fault type was proposed in this paper. Through modeling and theoretical analysis of waveforms of different fault types, characteristic parameters, which could characterize waveforms of different fault types from three aspects, time domain, frequency domain, and electric arc, were put forward. Calculation formula for extracting characteristic parameters according to fault waveform data was proposed, recognition logic was established by taking multi-parameter fusion as a basis, and then,automatic recognition of distribution line fault types caused by different factors was realized through detection and classification of characteristic parameters of input waveform data. Finally, 136 groups of field fault waveform data provided by the Electric Power Research Institute were used to do closed-loop control and verification of the algorithm, and results indicated that recognition success rate reached 90%, which verified the feasibility of using time-frequency characteristics of fault waveform to realize recognition of distribution line fault types.
- 29 August 2017
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 6, 7291-7300
Open AccessResearch on Distribution Network Fault Recognition Method Based on Time-Frequency Characteristics of Fault Waveforms
Accurate recognition of distribution line fault types can provide directional guidance for line operation and maintenance personnel. Based on the analysis of time-frequency features of fault waveform, a recognized method of distribution line fault type was proposed in this paper. Through modeling and theoretical analysis of waveforms of different fault types, characteristic parameters, which could characterize waveforms of different fault types from three aspects, time domain, frequency domain, and electric arc, were put forward. Calculation formula for extracting characteristic parameters according to fault waveform data was proposed, recognition logic was established by taking multi-parameter fusion as a basis, and then,automatic recognition of distribution line fault types caused by different factors was realized through detection and classification of characteristic parameters of input waveform data. Finally, 136 groups of field fault waveform data provided by the Electric Power Research Institute were used to do closed-loop control and verification of the algorithm, and results indicated that recognition success rate reached 90%, which verified the feasibility of using time-frequency characteristics of fault waveform to realize recognition of distribution line fault types.