Abstract：Ultraviolet(UV) imaging is an effective non-contact discharge detection method. In order to quantify the insulator surface discharge intensity with UV imaging method, in this paper the discharge facular area in UV image was selected as a UV image quantity parameter. Then the discharge UV imaging and electrical pulse signal characteristics were compared through experiment, and the relation curves of pulse amplitude, average pulse current with the facular area were obtained under the conditions of observe distance was 9m and several typical device gains. The vary characters of UV and visible images parameters with the increased detection distance is researched, and it shows that the parameters of UV and visible images had the approximate attenuation characteristics. Based on the above research work, a discharge imaging region area estimation method by means of visible image information was proposed. With this method, it avoides the problem that under different observe distance the detection result was lack of comparison. Finally, the support vector regression machine model is established and realized the estimation of discharge intensity.
律方成, 戴日俊王胜辉牛英博. 基于紫外成像图像信息的绝缘子表面放电量化方法[J]. 电工技术学报, 2012, 27(2): 261-268.
Lü Fangcheng, Dai Rijun, Wang Shenghui, Niu Yingbo. Study of Insulator Surface Discharge Quantification Method Based on Ultraviolet Imaging Image Information. Transactions of China Electrotechnical Society, 2012, 27(2): 261-268.
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2012, Vol. 27 
