[1]丁 培,马飞越,高 原,等.基于紫外图像相对光斑面积的绝缘子表面放电量化评估方法研究[J].电瓷避雷器,2015,138(03):1-4.[doi:10.16188/j.isa.1003-8337.2015.03.001 ]
 DING Pei,MA Feiyue,GAO Yuan,et al.Study of Insulator Surface Discharge Quantitative Evaluation Method Based on Ultraviolet Imaging Relative Spot Area[J].,2015,138(03):1-4.[doi:10.16188/j.isa.1003-8337.2015.03.001 ]
点击复制

基于紫外图像相对光斑面积的绝缘子表面放电量化评估方法研究()
分享到:

《电瓷避雷器》[ISSN:1006-6977/CN:61-1281/TN]

卷:
138卷
期数:
2015年03期
页码:
1-4
栏目:
绝缘子
出版日期:
2015-06-25

文章信息/Info

Title:
Study of Insulator Surface Discharge Quantitative Evaluation Method Based on Ultraviolet Imaging Relative Spot Area
作者:
丁 培1马飞越1高 原2郝金鹏1李军浩2李彦明2
1. 国网宁夏电力公司电力科学研究院,银川 750001;2. 西安交通大学电气工程学院,西安 710049
Author(s):
DING Pei1 MA Feiyue1 GAO Yuan2 HAO Jinpeng1 LI Junhao2 LI Yanming2
1. Electric Power Research Institute of State Grid Ningxia Electric Power Company, Yinchuan 750001, China; 2. School of Electrical Engineering, Xi'an Jiaotong University, Xi'an 710049, China
关键词:
绝缘子表面放电紫外检测相对光斑面积
Keywords:
insulator surface discharge UV detection relative spot area
DOI:
10.16188/j.isa.1003-8337.2015.03.001
文献标志码:
A
摘要:
绝缘子在运行过程中会由于表面污秽、凝露等发生表面放电,紫外成像技术作为一种绝缘子表面放电非接触式检测方法,可对绝缘子表面放电进行有效检测。常用的紫外成像光子数、光斑面积等参数会随着检测距离的变化而变化,无法实现不同检测距离时对绝缘子表面放电紫外检测的统一量化描述。基于紫外图像处理算法,研究了紫外图像相对光斑面积的计算方法,通过不同检测距离下复合绝缘子和玻璃绝缘子的紫外成像检测,验证了相对光斑面积这一参数基本不随检测距离的变化而变化,可有效实现绝缘子表面放电的量化评估。
Abstract:
There will be occur surface discharge during insulator operation for surface contamination, condensation etc. Ultraviolet (UV) imaging technology is a non-contact detection method and it can detect the insulator surface discharge effectively. The photon number and spot area will change with the detection distance and it unable to unified quantitative describe the UV detection of insulator surface discharge accurately in different detection distance. The UV imaging relative spot area is studied based on UV imaging processing algorithm. Through the UV imaging detection experiment for composite insulator and glass insulator under different distance, it is verified that the UV imaging relative spot area does not change with the detection distance and it can realize the insulator surface discharge quantitative assessment effectively.

参考文献/References:

[1] 宋伟,赵林杰,李成榕,等. 复合绝缘子在线监测技术的发展[J]. 高电压技术,2005,31(5):28-30. SONG Wei,ZHAO Linjie,LI Chengrong,et al. The development of composite insulator’s online monitoring technology[J]. High Voltage Engineering,2005,31(5):28-30.
[2] 李明. 基于声发射技术的绝缘子污秽放电监测方法研究[D]. 武汉:武汉大学,2004. LI Ming. Study on the detection method of the discharge of contaminated insulators based on acoustic emission technology[D]. Wuhan: Wuhan university,2004.
[3] 黄新波. 输电线路在线监测与故障诊断[M]. 北京:中国电力出版社,2008. HUAnG Xinbo. Online detection and fault diagnosis of transmission lines[M]. Beijing: Chinese Electricity Press, 2008.
[4] 中国电机工程学会输电线路专业委员会.输电线路紫外检测技术交流会文集[C].武汉,2007. Chinese academy of Electrical Engineering & Professional Committee of transmission lines. The anthology UV detection technology exchange conference in transmission line[C]. Wuhan,2007.
[5] 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,2011. WANG Shenghui. The detection and assessment of the discharge of contaminated insulators based on UV imaging.[D]. Baoding: Huabei Electricity University,2011.
[6] 王灿林,王柯,王黎明,等. 基于紫外光脉冲检测技术的绝缘子电晕特性研究[J]. 中国电机工程学报,2007,27(36):19-25. WANG Chanlin,WANG Ke,WANG Liming,et al. The study of the corona characteristics of insulators based on UV light pulse detection technology[J]. Chinese Society for Electrical Engineering,2007,27(36):19-25.
[7] 杨陈涛. 基于非接触式的劣化绝缘子检测方法的研究[D]. 重庆:重庆大学,2006. YANG Chentao. Research on the detection method of the deterioration insulator based on contactless technology[D]. Chongqing: Chongqi university,2006.
[8] 陈磊. 基于紫外成像特征量的绝缘子放电检测的研究[D]. 保定:华北电力大学.2009. CHEN Lei. Study on the discharge detection of insulators based on the eigenvalues of UV imaging.
[9] Haifeng Gao,Zhidong Jia,Yingke Mao,et al. Effect of Hydrophobicity on Electric Field Distribution and Discharges Along Various Wetted Hydrophobic Surfaces[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2008,V15(2):435-443.
[10] 孙才新,司马文霞,舒立春. 大气环境与电气外绝缘[M].北京:中国电力出版社,2002. SUN Caixin,SIMA Wenxia,SU Lichun. Outside atmosphere and electrical insulation[M]. Beijing: Chinese Electricity Press,2002.
[11] 谈克雄,李福祺. 基于距离的放电模式识别方法[J]. 高压电器,1997,33(3):3-7. TAN Kexiong,LI Fuqi. Discharge pattern recognition methods based on distance[J]. HV Electric,1997,33(3):3-7.
[12] 冈萨雷斯. 数字图像处理[M]. 北京:电子工业出版社,2005. Gonzalez. Digital image processing[M]. Beijing: Publishing House of Electronics Industry,2005.9.
[13] Masahisa Otsubo,Takuhei Hashiguchi. Discharge and Emission Spectra on the Surface of Polymer Insulator Materials in Salt Fog Aging Test[A]. 2001 Annual Report Conference on Electrical Insulation and Dielectric Phenomena[C], 2001:620-623.
[14] 汪金刚. 高压设备放电紫外检测技术及其应用研究[D]. 重庆:重庆大学. 2008. WANG Jingang. Study on the UV detection technology and its application of the discharge of high voltage equipment[D]. Chongqin: Chongqi University,2008.

备注/Memo

备注/Memo:
收稿日期:2014-12-30 作者简介:丁培(1984—),工程师,主要从事电气设备试验及管理工作。 基金项目:教育部高等学校博士学科点专项科研基金项目资助(编号:20110201120065)。
更新日期/Last Update: 1900-01-01