Micro-Cracks Identification and Characterization on the Sheds of Composite Insulators by Fractal Dimension

Hua Jin, Zekun Lv, Zhikang Yuan*, Zixiang Wei, Cheng Wang, Cong Wang, Youping Tu, Fan Li, Tian Chen, Peng Xiao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

The phenomenon of micro-cracks on the sheds is due to aging of the composite insulator. With the development of the Unmanned Aerial Vehicle (UAV) technology, the online aging characterization based on micro-cracks turns out to be a reality. In this article, the micro-cracks identification and characterization on the sheds of composite insulators based on visible spectrum image was studied. At first, the shed area was segmented after graying and binarization operation. Then, the Laplace of Gaussian (LoG) operator and Otsu algorithm were used to extract the texture of micro-cracks. Box-counting method was used to calculate the fractal dimension of the micro-cracks on the composite insulator shed. The index of fractal dimension, a number between 1 and 2, can be used to describe the roughness and density of fractal dimension. The higher the fractal dimension was, the more severe the micro-cracks would be. The experimental results proved that the method proposed was feasible and effective on micro-cracks identification and characterization.

Original languageEnglish
Article number9216168
Pages (from-to)1821-1824
Number of pages4
JournalIEEE Transactions on Smart Grid
Volume12
Issue number2
DOIs
Publication statusPublished - Mar 2021
Externally publishedYes

Keywords

  • box-counting
  • Composite insulator
  • fractal dimension
  • Laplace of Gaussian operator
  • micro-cracks

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