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Rod Porcelain Insulator Filth State Detection of Catenary Based on Ultraviolet Image
Author(s): 
Pages: 112-118
Year: Issue:  10
Journal: Transactions of China Electrotechnical Society

Keyword:  Porcelain insulatorfilth dischargeultraviolet imagingfuzzy inferencethreshold filtering;
Abstract: In order to detect the filth state of catenary insulator, this paper use the ultraviolet image detection technique to study the rod porcelain insulators of catenary. The insulators were smeared, and then discharged in phytotron, which were recorded by ultraviolet images and videos. Then the images were processed. Based on the extracted characteristics, the threshold filtering was used for binary image denoising, and the "flare area percentage" was defined to describe the characteristics of images. By the discharge experiments of different pollution level insulators under different relative humidity, the influence of humidity and pollution level on insulator discharge was analyzed. A fuzzy inference model was established, where the average flare area percentage and relative humidity were set as the inputs and the insulator filth degree as the output. A UV video image based filth state detection system for external insulation was formed by combining the inference model with the video image processing system.
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