Study of power network line damage identification based on image feature analysis
- DOI
- 10.2991/nceece-15.2016.22How to use a DOI?
- Keywords
- power network; image feature; line damage; identification
- Abstract
This paper proposed a power network line damage identification method based on image feature analysis. By extracting and analyzing outline features, shape features and statistical characteristics of electric power network images, the classification results of all the sub images of all the to-be-matched vein images are fused, whether this image matches the power network line breakage characteristics is judged, so as to realize the power network lines’ damage identification, solve the problem of the traditional line identification method as a result of the kinds of line breakage it can analyze is limited and it can't complete lines’ damage identification problem effectively.The simulation results show that the proposed method has high identification accuracy.
- Copyright
- © 2016, 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 - Hongzhao Li AU - Fumin Yang PY - 2015/12 DA - 2015/12 TI - Study of power network line damage identification based on image feature analysis BT - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering PB - Atlantis Press SP - 114 EP - 119 SN - 2352-5401 UR - https://doi.org/10.2991/nceece-15.2016.22 DO - 10.2991/nceece-15.2016.22 ID - Li2015/12 ER -