基于紫外成像图像信息的绝缘子表面放电量化方法

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (1631 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

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.

Key words： Insulator discharge UV imaging digital image processing discharge quantification

Received: 25 October 2011 Published: 19 March 2014

PACS:

TM855

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors

Cite this article:

URL:

http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2012/V27/I2/261

[1] 关志成, 刘瑛岩, 周远翔, 等. 绝缘子及输变电设备外绝缘[M]. 北京: 清华大学出版社, 2006.
[2] Kumagai S, Oshimura N Y. Leakage current char-
acterization for estimating the conditions of ceramic and polymeric insulating surfaces[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2004, 11(4): 681-690.
[3] Moreno V M, Gorur R S. Effect of long-term corona on non-ceramic outdoor insulator housing materials[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2001, 8(1): 117-128.
[4] 李璟延, 姚陈果, 胡建林.染污绝缘子放电发展区段与污闪预警的实验研究[J]. 中国电机工程学报, 2008, 28(13): 8-14.
[5] 张子伟. 基于紫外成像法的高压输变电设备放电研究[D]. 保定: 华北电力大学, 2008.
[6] 李和明, 王胜辉, 律方成, 等. 基于放电紫外成像参量的绝缘子污秽状态评估的研究[J]. 电工技术学报, 2010, 25(12): 22-29.
[7] Edson G. da Costa, Tarso V Ferreira, et al. Char-acterization of polymeric insulator using thermal and UV imaging under laboratory condition[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2009, 16(4): 985-992.
[8] Zhou Wenjun, Li Han, Yi Xiao, et al. A criterion for UV detection of AC corona inception in a rod-plane our gap[J]. IEEE Transactions on Dielectrics and Electrial Insulation, 2011, 18(1): 232-237.
[9] Kil-Mok Shong, sun-Gu Kim, Woon-Ki Han, et al. Recognition and detection of corona discharge on porcelain insulator at 22.9kV distribution line using a UV-camera[C]. XVth international symposium on high voltage engineering, Slovenia, 2007: 503-507.
[10] Pinnangudi B, Gorur R S, Kroese A J. Quantification of corona discharges on non-ceramic insulators[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2005, 12(3): 513-523.
[11] 马斌, 周文俊, 汪涛. 基于紫外成像技术的极不均匀电场电晕放电[J]. 高电压技术, 2006, 32(7): 13-16.
[12] 王胜辉.基于紫外成像的污秽悬式绝缘子放电检测及评估[D]. 保定: 华北电力大学, 2010.
[13] 罗军辉, 冯平, 哈力旦A. MATLAB7.0在图像处理中的应用[M]. 北京:机械工业出版社, 2005.
[14] 张谷令, 敖玲, 胡建芳, 等. 应用等离子体物理学[M]. 北京: 首都师范大学出版社, 2008.
[15] 赵青, 刘述章, 童洪辉.等离子体技术及应用[M]. 北京: 国防工业出版社, 2009.
[16] 白廷柱, 金伟其. 光电成像原理与技术[M]. 北京: 北京理工大学出版社, 2006.
[17] 廖延彪. 成像光学导论[M]. 北京: 清华大学出版社, 2008.
[18] 吴今培, 孙德山. 现代数据分析[M]. 北京: 机械工业出版社, 2006.
[19] 焦尚彬, 刘丁, 郑岗, 等.基于最小二乘支持向量机的绝缘子等值附盐密度预测[J]. 中国电机工程学报, 2006, 26(2): 149-153.