TITLE:
The Ultraviolet Detection of Corona Discharge in Power Transmission Lines
AUTHORS:
Lan Chen, Lin Lin, Mimi Tian, Xingming Bian, Liming Wang, Zhicheng Guan
KEYWORDS:
Corona Discharge; Transmission Lines; Defect Detection; UV Imager; Multivariate Regression Analysis
JOURNAL NAME:
Energy and Power Engineering,
Vol.5 No.4B,
November
18,
2013
ABSTRACT:
Corona discharge is a common phenomenon in power
transmission lines external insulation, and it may cause serious defect if without
effective detection. The ultraviolet (UV) imagery technology has been widely used to
detect the corona discharge in industry in recent years, but some influence
factors’ functions are not definite. In this paper, the fracture aluminum
strands which is common in power transmission lines were used as the electrode
model while a SuperB ultraviolet imager were utilized to detect, the photon
count rate was detected with different detect distance, electric field,
aluminum strands length and UV gain were applied. Then the multivariate
regression analysis (MRA) was taken to calculate the function between the photon count
and the factors.