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has been cited by the following article:

• 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.