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/).

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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  -