基于紫外图像的接触网棒瓷绝缘子污秽状态检测

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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.

Key words： Porcelain insulator filth discharge ultraviolet imaging fuzzy inference threshold filtering

Received: 05 September 2015 Published: 11 July 2016

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	Ai Jianyong
	Jin Lijun

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Ai Jianyong,Jin Lijun. Rod Porcelain Insulator Filth State Detection of Catenary Based on Ultraviolet Image[J]. Transactions of China Electrotechnical Society, 2016, 31(10): 112-118.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2016/V31/I10/112

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