Rod Porcelain Insulator Filth State Detection of Catenary Based on Ultraviolet Image
Ai Jianyong1,2, Jin Lijun1,2
1. School of Electronic and Information Engineering Tongji University Shanghai 201804 China; 2. State Key Laboratory of Electrical Insulation and Power Equipment Xi’an Jiaotong University Xi’an 710049 China
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.
艾建勇, 金立军. 基于紫外图像的接触网棒瓷绝缘子污秽状态检测[J]. 电工技术学报, 2016, 31(10): 112-118.
Ai Jianyong, Jin Lijun. Rod Porcelain Insulator Filth State Detection of Catenary Based on Ultraviolet Image. Transactions of China Electrotechnical Society, 2016, 31(10): 112-118.
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2016, Vol. 31 
