Application of Weibull Distribution for Detection and Identification Partial Discharge in XLPE Cable
Authors
Xiaoli Hu, Jun Yong, Bo Yang, Minglin Liu, Hailei Meng, Xiaobin Sun, Yubing Duan, Xinyan Feng, Yongpeng Xu
Corresponding Author
Xiaoli Hu
Available Online July 2015.
- DOI
- 10.2991/icaees-15.2015.68How to use a DOI?
- Keywords
- Weibull distribution, partial discharge, XLPE cable
- Abstract
In order to study the application of Weibull distribution in cable partial discharge pattern recognition. We apply a 10kV 30m XLPE cable for this study. Then design four kinds of typical artificial defect model and analyze each of defect model’s discharge pulse signals. Finally, estimate the Weibull distribution of signals by use of the maximum likelihood method. The results show that Weibull probability distribution is similar to partial discharge amplitude distribution, the shape parameter can be used to identify different types of discharge.
- Copyright
- © 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 - Xiaoli Hu AU - Jun Yong AU - Bo Yang AU - Minglin Liu AU - Hailei Meng AU - Xiaobin Sun AU - Yubing Duan AU - Xinyan Feng AU - Yongpeng Xu PY - 2015/07 DA - 2015/07 TI - Application of Weibull Distribution for Detection and Identification Partial Discharge in XLPE Cable BT - Proceedings of the 3rd International Conference on Advances in Energy and Environmental Science 2015 PB - Atlantis Press SP - 366 EP - 370 SN - 2352-5401 UR - https://doi.org/10.2991/icaees-15.2015.68 DO - 10.2991/icaees-15.2015.68 ID - Hu2015/07 ER -