Pattern Recognition of Partial Discharge in XLPE Cable Based on Phase Distribution
- 10.2991/icaees-15.2015.67How to use a DOI?
- XLPE cable, partial discharge, the maximum discharge amount distribution, the average discharge amount distribution, the phase distribution of discharge times, -Q-N distribution
In order to analysis the type of XLPE cable partial discharge, and grasp characteristics of partial discharge caused by different defects. In this paper, we use a 10kV 30-meter-long XLPE cable and design different types of defects. Then we collect the PD data of different defect model by PD data acquisition system. To characterize Partial discharge signals generated by different defect model by use of discharge capacity qs, discharge times n , the average discharge amount qn and phase distribution function include the maximum discharge amount distribution HQmax( ) , the average discharge amount distribution HQmean( ) , the discharge times phase distribution HN( ) as well as -Q-N distribution map and so on. The results show that the partial discharge signals produced by different defect model have different statistical characteristics.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yubing Duan AU - Hao Zhang AU - Jun Yong AU - Bo Yang AU - Xiaoli Hu AU - Xiaobin Sun AU - Hailei Meng AU - Xinyan Feng AU - Yongpeng Xu PY - 2015/07 DA - 2015/07 TI - Pattern Recognition of Partial Discharge in XLPE Cable Based on Phase Distribution BT - Proceedings of the 3rd International Conference on Advances in Energy and Environmental Science 2015 PB - Atlantis Press SP - 362 EP - 365 SN - 2352-5401 UR - https://doi.org/10.2991/icaees-15.2015.67 DO - 10.2991/icaees-15.2015.67 ID - Duan2015/07 ER -