Proceedings of the 2017 Global Conference on Mechanics and Civil Engineering (GCMCE 2017)

Research on Detection Technology of Corona Discharge Fault in Power Equipment

Authors
Hua Huang, Fangwu Liu, Shidong Yuan, Rong Xiao, Kun Ding
Corresponding Author
Hua Huang
Available Online June 2017.
DOI
https://doi.org/10.2991/gcmce-17.2017.66How to use a DOI?
Keywords
power equipment failure; ultraviolet; infrared; image fusion
Abstract
UV corona on power system can reflect the location of the fault and the severity of the fault, the traditional UV and infrared detection equipment can only use the band and the visible light band image of the power system fault detection. In this paper, a power system fault detection system based on ultraviolet and infrared dual-band images is designed. The principle of UV imaging detection and image fusion are introduced respectively. The software of the host computer is written by MFC. The software can acquire both ultraviolet and infrared , The two images are fused using the image fusion algorithm based on edge detection and cross correlation and the highest point temperature is plotted. The field measurement shows that the system can detect the failure of the power equipment in time, and has a good practical value, which provides an efficient detection solution for the fault detection of the power equipment.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 Global Conference on Mechanics and Civil Engineering (GCMCE 2017)
Part of series
Advances in Engineering Research
Publication Date
June 2017
ISBN
978-94-6252-383-8
ISSN
2352-5401
DOI
https://doi.org/10.2991/gcmce-17.2017.66How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Hua Huang
AU  - Fangwu Liu
AU  - Shidong Yuan
AU  - Rong Xiao
AU  - Kun Ding
PY  - 2017/06
DA  - 2017/06
TI  - Research on Detection Technology of Corona Discharge Fault in Power Equipment
BT  - 2017 Global Conference on Mechanics and Civil Engineering (GCMCE 2017)
PB  - Atlantis Press
SP  - 376
EP  - 381
SN  - 2352-5401
UR  - https://doi.org/10.2991/gcmce-17.2017.66
DO  - https://doi.org/10.2991/gcmce-17.2017.66
ID  - Huang2017/06
ER  -