红外技术, 2023, 45 (12): 1346, 网络出版: 2024-01-17  

基于改进 ANFIS的绝缘子紫外光斑评估方法

Assessment Method of Ultraviolet Spot Area for Insulators Based on Improved ANFIS
作者单位
国网内蒙古东部电力有限公司兴安供电公司, 内蒙古兴安盟 137400
摘要
绝缘子运行状态的评估关乎到输电工程的安全运行。紫外成像技术提供了一种绝缘子评估的量化手段, 为此, 提出了一种基于改进自适应神经模糊推理系统(adaptive neuro-fuzzy inference system, ANFIS)的绝缘子紫外光斑评估方法。首先, 搭建了绝缘子污秽放电测试平台, 开展了不同测试距离和增益下的绝缘子放电强度研究。其次, 将增益以及紫外光斑面积作为训练数据, 建立了基于贝叶斯推理的 ANFIS模型。最后, 进行了现场验证测试。结果表明, 该方法具有良好的预测精度和测试效率, 适用于绝缘子紫外成像量化评估, 为绝缘子运行状态的评估提供了技术支撑。
Abstract
Evaluation of insulator operation is important for safely operating transmission lines. Ultraviolet (UV) imaging is a quantitative method for evaluating insulators. Therefore, a UV spot area assessment method based on an improved ANFIS for insulators was proposed. First, an insulator pollution discharge test platform was built to study the discharge intensity of the insulators at different test distances and gains. Second, an ANFIS(adaptive neuro-fuzzy inference system) model based on Bayesian inference is established using the gain and ultraviolet spot area as training data. Finally, a field verification test was conducted. The results show that this method has good prediction accuracy and test efficiency and is suitable for the quantitative evaluation of ultraviolet imaging for insulators, which provides technical support for the evaluation of the operating state of insulators.
参考文献

[1] 张重远, 闫康, 汪佛池, 等. 基于图像特征提取与 BP神经网络的绝缘子憎水性识别方法 [J]. 高电压技术, 2014, 40(5): 1446-1452. ZHANG Zhongyuan, YAN Kang, WANG Fochi, et al. Insulator hydrophobic identification based on image feature extraction and BP neural network[J]. High Voltage Engineering, 2014, 40(5): 1446-1452.

[2] 黄俊杰 , 阮羚, 马黎莉 , 等. 采用多维度数据技术对已挂网绝缘子的分析与故障诊断应用研究 [J]. 电瓷避雷器 , 2014(4): 17-20. HUANG Junjie, RUAN Ling, MA Lili, et al.Research on hung network insulator analysis and failure diagnosis based on multidimensional data technology[J]. Insulators and Surge Arresters, 2014(4): 17-20.

[3] 王梦. 基于绝缘子图像的缺陷检测方法研究 [D].武汉: 华中科技大学, 2019. WANG Meng. A Thesis Submitted in Partial Fulfillment of the Requirements for the Degree for the Master of Engineering[D]. Wuhan: Huazhong University of Science & Technology, 2019.

[4] 彭向阳 , 梁福逊 , 钱金菊 , 等. 基于机载红外影像纹理特征的输电线路绝缘子自动定位 [J]. 高电压技术, 2019, 45(3): 922-928. PENG Xiangyang, LIANG Fuxun, QIAN Jinju, et al. Automatic recognition of insulator from UAV infrared image based on periodic textural feature[J]. High Voltage Engineering, 2019, 45(3): 922-928.

[5] 汪佛池 , 马建桥 , 律方成 , 等. 污秽和水分对瓷支柱绝缘子发热的影响[J]. 高电压技术 , 2015, 41(9): 3054-3060. WANG Fochi, MA Jianqiao, Lü Fangcheng, et al. Pollution and water molecule effects on porcelain post insulator heating[J]. High Voltage Engineering, 2015, 41(9): 3054-3060.

[6] 邓久艳, 张宏杰 , 李若斓. 基于紫外成像的憎水性表面电晕起始放电研究[J]. 绝缘材料 , 2016, 49(4): 50-54. DENG Jiuyan, ZHANG Hongjie, LI Ruolan. Study on initial discharge of hydrophobic surface corona based on UV imaging[J]. Insulating Materials, 2016, 49(4): 50-54.

[7] 金立军 , 陈俊佑 , 张文豪 , 等. 基于图像处理技术的电力设备局部放电紫外成像检测 [J]. 电力系统保护与控制 , 2013, 41(8): 43-48. JIN Lijun, CHEN Junyou, ZHANG Wenhao, et al. Partial discharge detection of power equipment by ultraviolet imaging based on image processing technology[J]. Power System Protection and Control, 2013, 41(8): 43-48.

[8] 张满, 蒋兴良 , 舒立春, 等. 混合凇对分裂导线起晕电压影响 [J]. 电工技术学报, 2015, 30(3): 258-267. ZHANG Man, JIANG Xingliang, SHU Lichun, et al. The influences of mixed-phase ice on corona inception voltage of bundle conductor[J]. Transactions of China Electrotechnical Society, 2015, 30(3): 258-267.

[9] 陈磊, 周仿荣, 马仪, 等. 悬式复合绝缘子电晕放电紫外图像光斑面积[J]. 高压电器, 2013, 49(8): 60-67. CHEN Lei, ZHOU Fangrong, MA Yi, et al. Ultraviolet image facular area vary characteristic and apparent discharge estimation of suspension composite insulator corona[J]. High Voltage Apparatus, 2013, 49(8): 60-67.

[10] LI Heming, DAI Rijun, LI Man. Insulator ultraviolet discharge feature extraction based on level set[C]//IEEE International Conference on Electrical and Control Engineering, 2011: 2283-2286.

[11] 黄文武, 贺振华, 蔡炜, 等. 基于紫外成像技术的棒-板间隙放电环境因素研究[J]. 高电压技术 , 2015, 41(8): 2788-2794. HUANG Wenwu, HE Zhenhua, CAI Wei, et al. Study on the environmental factors of rod-plane gap discharge based on UV imaging[J]. High Voltage Engineering, 2015, 41(8): 2788-2794.

[12] 齐磊, 符瑜科, 李小萌, 等. 气压和湿度对复合电压下换流阀高压电极起晕电压影响试验 [J]. 高电压技术, 2019, 45(1): 82-90. QI Lei, FU Yuke, LI Xiaomeng, et al. Effects of air pressure and humidity on corona onset voltage of high voltage electrode of converter valve under combined ac and dc voltage[J]. High Voltage Engineering, 2019, 45(1): 82-90.

[13] 黄荣辉 , 张宏钊 , 李勋, 等. 基于紫外成像法的绝缘子电晕放电影响因素试验研究[J]. 水电能源科学, 2015, 33(11): 180-182. HUANG Ronghui, ZHANG Hongzhao, LI Xun, et al. Test study on factors influencing insulator corona discharge with ultraviolet imagery method[J]. Water Resources and Power, 2015, 33(11): 180-182.

[14] 李炼炼 , 孟刚, 邓慰, 等. 输变电设备电晕放电紫外图谱量化参数提取[J]. 高压电器, 2017, 53(12): 229-235. LI Lianlian, MENG Gang, DENG Wei, et al. Quantification parameters extraction from ultraviolet image of corona discharge of power transmission and transformation equipment[J]. High Voltage Apparatus, 2017, 53(12): 229-235.

[15] 陈磊, 赵日升, 矫镕达, 等. 基于 ANFIS和 SOM的抽水蓄能电站主变压器健康状态监测 [J]. 水电能源科学 , 2020, 38(3): 179-180. CHEN Lei, ZHAO Risheng, JIAO Rongda, et al. Health condition monitoring of main transformer in pumped storage power station based on adaptive neural fuzzy inference system and self-organizing map[J]. Water Resources and Power, 2020, 38(3): 179-180.

[16] 汪金刚 , 张作鹏 , 龙震泽 , 等. 采用模糊推理对绝缘子放电紫外检测结果进行外绝缘放电状况评估 [J]. 电工电能新技术 , 2011, 30(2): 79-83. WANG Jingang, ZHANG Zuopeng, LONG Zhenze, et al. Discharge status evaluation on external insulation of insulator based on results of ultra-violet radiation measurement and fuzzy reasoning[J]. Advanced Technology of Electrical Engineering and Energy, 2011, 30(2): 79-83.

[17] 王来, 谷莉莉, 易辉, 等. 电力金具试验方法第 2部分: 电晕和无线电干扰试: GB/T 2317.2-2008[S].北京: 中国标准出版社, 2008. WANG Lai, GU Lili, YI Hui, et al. Test method for electric power fittings-Part 2:Corona and RIV tests for electric power fittings: GB/T 2317.2-2008[S]. Beijing: State Grid Corporation of China, 2008.

[18] 贺振华 , 王玮, 黄文武, 等. 两种紫外成像仪检测电晕放电的对比研究[J]. 高压电器, 2014, 50(8): 80-86. HE Zhenhua, WANG Wei, HUANG Wenwu, et al. Comparative study on corona discharge detection with two ultraviolet imagers[J]. High Voltage Apparatus, 2014, 50(8): 80-86.

徐国辉, 谢宏伟, 吕通发, 牟鑫, 鲍明正, 吕超. 基于改进 ANFIS的绝缘子紫外光斑评估方法[J]. 红外技术, 2023, 45(12): 1346. XU Guohui, XIE Hongwei, LYU Tongfa, MOU Xin, BAO Mingzheng, LYU Chao. Assessment Method of Ultraviolet Spot Area for Insulators Based on Improved ANFIS[J]. Infrared Technology, 2023, 45(12): 1346.

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!