There is no convenient and fast method for the insulation aging degree detection. In this paper, a non-contact and fast non-destructive testing method for surface aging of composite insulators based on hyperspectral technology is proposed. Firstly, Fourier-infrared tests were carried out on samples with different aging degrees, and the group changes on the surface of the samples and the influence on hydrophobicity were analyzed. Secondly, the hyperspectral imager (900~1 700nm) was used to obtain the spectral information of the aged samples. Combined with the Fourier mid-infrared spectroscopy, the relationship between the group content and the spectral information of the aged samples was determined, so as to qualitatively analyze the degree of aging. Finally, an aging degree evaluation model based on the deep extreme learning machine was established, and 60 groups of data to be tested were predicted to achieve accurate grading of the insulator aging degree. The classification accuracy rate was 96.67%. Compared with BP neural network model and support vector machine model, it is shown that the model used in this paper has both rapidity and accuracy, which provides a new idea for on-line detection of the aging degree of external insulation surface.
[1] 夏云峰, 宋新明, 何建宗, 等. 复合绝缘子用硅橡胶老化状态评估方法[J]. 电工技术学报, 2019, 34(增刊1): 440-448.
Xia Yunfeng, Song Xinming, He Jianzong, et al.Evaluation method of aging for silicone rubber of composite insulator[J]. Transactions of China Elec- trotechnical Society, 2019, 34(S1): 440-448.
[2] 邱彦, 张血琴, 郭裕钧, 等. 基于高光谱技术的绝缘子污秽等级检测方法[J]. 高电压技术, 2019, 45(11): 3587-3594.
Qiu Yan, Zhang Xueqin, Guo Yujun, et al.Detection method of insulator contamination grades based on hyperspectral technique[J]. High Voltage Engineering, 2019, 45(11): 3587-3594.
[3] 张志劲, 张翼, 蒋兴良, 等. 自然环境不同年限复合绝缘子硅橡胶材料老化特性表征方法研究[J]. 电工技术学报, 2020, 35(6): 1368-1376.
Zhang Zhijin, Zhang Yi, Jiang Xingliang, et al.Study on aging characterization methods of composite insulators aging in natural environment for different years[J]. Transactions of China Electrotechnical Society, 2020,35(6): 1368-1376.
[4] Samuel A, Frank S, Konstantin O P.Improved silicone rubbers for the use as housing material in composite insulators[J]. IEEE Transactions on Die- lectrics and Electrical Insulation, 2012, 19(1): 209-211.
[5] 刘丁华. 高海拔环境紫外辐射对硅橡胶材料性能的影响[D]. 北京: 华北电力大学, 2015.
[6] 覃永雄, 虞澜, 傅佳, 等. 长波紫外照射下高温硫化硅橡胶的微观物性及憎水性研究[J]. 电工技术学报, 2014, 29(12): 242-250.
Qin Yongxiong, Yu Lan, Fu Jia, et al.Research on microscopic properties and hydrophobicity of high temperature vulcanization silicone rubber under long-wave ultraviolet radiation[J]. Transactions of China Electrotechnical Society, 2014, 29(12): 242-250.
[7] 肖雄, 王建国, 吴照国, 等. 等离子体作用后硅橡胶憎水性恢复及憎水迁移特性研究[J]. 电工技术学报, 2019, 34(增刊1): 433-439.
Xiao Xiong, Wang Jianguo, Wu Zhaoguo, et al.Study on hydrophobicity recovery and hydrophobicity transfer of plasma treated silicone rubber[J]. Transa- ctions of China Electrotechnical Society, 2019, 34(S1): 433-439.
[8] 汪佛池, 律方成, 杨升杰, 等. 基于FTIR的110kV复合绝缘子硅橡胶伞裙老化性能分析[J]. 电工技术学报, 2015, 30(8): 297-303.
Wang Fochi, Lü Fangcheng, Yang Shengjie, et al.The aging characteristic of silicon rubber sheds of 110kV composite insulators based on FTIR test[J]. Transactions of China Electrotechnical Society, 2015, 30(8): 297-303.
[9] 左国玉, 马蕾, 徐长福, 等. 基于跨连接卷积神经网络的绝缘子检测方法[J]. 电力系统自动化, 2019, 43(4): 101-108.
Zuo Guoyu, Ma Lei, Xu Changfu, et al.Insulator detection method based on cross-connected con- volutional neural network[J]. Automation of Electric Power Systems, 2019, 43(4): 101-108.
[10] 朱虎, 李卫国, 林冶. 绝缘子检测方法的现状与发展[J]. 电瓷避雷器, 2006(6): 13-17.
Zhu Hu, Li Weiguo, Lin Ye.Present and future development of detection methods for composite insulator[J]. Insulators and Surge Arresters, 2006(6): 13-17.
[11] 张冠军, 赵林, 周润东, 等. 硅橡胶复合绝缘子老化表征评估研究的现状与进展[J]. 高压电器, 2016, 52(4): 1-15.
Zhang Guanjun, Zhao Lin, Zhou Rundong, et al.Review on aging characterization and evaluation of silicon rubber composite insulator[J]. High Voltage Apparatus, 2016, 52(4): 1-15.
[12] 谭宇翔, 任海燕. 基于傅立叶红外光谱法的复合绝缘子老化程度诊断研究[J]. 电气自动化, 2013, 35(1): 91-94.
Tan Yuxiang, Ren Haiyan.Study on diagnosis of composite insulators' degree of aging based on Fourier transform infrared spectroscopy test method[J]. Electrical Automation, 2013, 35(1): 91-94.
[13] 张血琴, 高润明, 郭裕钧, 等. 基于高光谱的复合绝缘子电晕老化状态评估[J]. 西南交通大学学报, 2020, 55(2): 442-449.
Zhang Xueqin, Gao Runming, Guo Yujun, et al.Composite insulator corona aging status evaluation based on hyperspectral[J]. Journal of Southwest Jiaotong University, 2020, 55(2): 442-449.
[14] 童庆禧, 张兵, 郑兰芬, 等. 高光谱遥感—原理、技术与应用[M]. 北京: 高等教育出版社, 2006.
[15] 孙俊, 金夏明, 毛罕平, 等. 高光谱图像技术在掺假大米检测中国的应用[J]. 农业工程学报, 2014, 30(21): 301-307.
Sun Jun, Jin Xiaming, Mao Hanping, et al.Application of hyperspectral image technology in detection of adulterated rice[J]. Journal of Agricu- ltural Engineering, 2014, 30(21): 301-307.
[16] 王家云, 王松磊, 贺晓光, 等. 基于NIR高光谱成像技术的滩羊肉内部品质无损检测[J]. 现代食品科技, 2014, 30(6): 257-262, 249.
Wang Jiayun, Wang Songlei, He Xiaoguang, et al.Nondestructive detection for internal qualities of tan-sheep meat using NIR hyperspectral imaging technique[J]. Modern Food Technology, 2014, 30(6): 257-262, 249.
[17] 邵瑰玮, 付晶, 陈怡, 等. 基于图谱特征的复合绝缘子老化神经网络评估方法[J]. 高电压技术, 2014, 40(3): 861-867.
Shao Guiwei, Fu Jing, Chen Yi, et al.Aging assessment method of composite insulator using neural network based on image and spectra characteristic[J]. High Voltage Engineering, 2014, 40(3): 861-867.
[18] International Electrotechnical Commission.IEC- 61109-2008. Insulators for overhead lines-composite suspension and tension insulators for a.c. systems with a nominal voltage greater than 1000V— definitons, test methods and acceptance criteria[S]. IEC, 2008.
[19] 胡行俊. 紫外光与合成材料的光老化[J]. 装备环境工程, 2006, 3(2): 38-41.
Hu Xingjun.UV-irradiation and photoaging of syntheticm aterials[J]. Equipment Environmental Engineering, 2006, 3(2): 38-41.
[20] 王晶, 候红英. 青岛地区太阳紫外线辐射研究[J]. 中国海洋大学学报, 2006, 36(4): 671-676.
Wang Jing, Hou Hongying.Research of solar ultraviolet radiation in the Qingdao region[J]. Periodi- cal of Ocean University of China, 2006, 36(4): 671-676.
[21] 吴兑. 太阳紫外线辐射及其生物效应[J]. 气象, 2001, 26(4): 54-55.
Wu Dui.Surface sunny ultraviolet radiation and biology effect[J]. Meteorological, 2001, 26(4): 54-55.
[22] 庄海仁, 何文生, 林玛丽. 国内外实验室光源加速老化试验设备[J]. 合成材料老化与应用, 2007, 36(4): 48-50.
Zhuang Hairen, He Wensheng, Lin Mali.Domestic and foreign laboratories light source accelerated aging test equipment[J]. Synthetic Materials Aging and Application, 2007, 36(4): 48-50.
[23] 赵翮选, 赵书荣, 王联章, 等. 高海拔地区紫外辐射对硅橡胶复合绝缘子老化的影响[J]. 华北电力技术, 2009(3): 10-13.
Zhao Hexuan, Zhao Shurong, Wang Lianzhang, et al.Influence of UV-irradiation on degradation of silicone rubber composite insulators in high-altitude regions[J]. North China Power Technology, 2009(3): 10-13.
[24] 郑小波, 王学锋, 罗宇翔, 等. 1961—2005年云贵高原太阳辐射变化特征及其影响因子[J]. 气候与环境研究, 2011, 16(5): 657-664.
Zheng Xiaobo, Wang Xuefeng, Luo Yuxiang, et al.Variation characteristics of global radiation and the associated climatic factors over Yunnan-Guizhou plateau in the southwestern part of China for 1961-2005[J]. Climatic and Environmental Research, 2011, 16(5): 657-664.
[25] 高岩峰, 王家福, 梁曦东, 等. 交直流电晕对高温硫化硅橡胶性能的影响[J]. 中国电机工程学报, 2016, 36(1): 274-284.
Gao Yanfeng, Wang Jiafu, Liang Xidong, et al.Influence of AC and DC corona on high temperature vulcanized silicone rubber[J]. Proceedings of the CSEE, 2016, 36(1): 274-284.
[26] Huang Guangbin, Zhu Qinyu, Siew C.Extreme learning machine: a new learning scheme of feed- forward neural networks[C]//IEEE International Joint Conference on Neural Networks, 2004: 985-990.
[27] Tang Jiexiong, Deng Chenwei, Huang Guangbin.Extreme learning machine for multilayer percep- tron[J]. IEEE Transactions on Neural Networks and Learning Systems, 2015, 27(4): 809-821.
2021, Vol. 36 
