State Identification of Transmission Line Defect Based on Radial Basis Probabilistic Neural Network

Xinbo HUANG; Xiaoling ZHANG; Ye ZHANG; Luya YANG; Cheng LIU; Wenjing LI

doi:10.7500/AEPS20190122004

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State Identification of Transmission Line Defect Based on Radial Basis Probabilistic Neural Network

Application Research | 更新时间：2025-06-16

- State Identification of Transmission Line Defect Based on Radial Basis Probabilistic Neural Network
- Automation of Electric Power Systems Vol. 44, Issue 3, Pages: 201-210(2020)
- 作者机构：
  
  1. 西安工程大学电子信息学院，陕西省西安市 710048
  2. 重庆水利电力职业技术学院智能制造学院，重庆市 402160
- 作者简介：
- 基金信息：
  
  Scientific Research Program Funded by Shaanxi Provincial Education Department;Key Research and Development Program Funded by Shaanxi Provincial Science and Technology Department;the Science and Technology Research Program of Chongqing Municipal Education Commission
- DOI：10.7500/AEPS20190122004
  CLC：
- Received：22 January 2019，
  
  Revised：2019-06-10，
  
  Published Online：13 December 2019，
  
  Published：25 March 2020
- 稿件说明：
移动端阅览
黄新波,章小玲,张烨等.基于径向基概率神经网络的输电导线缺陷状态识别[J].电力系统自动化,2020,44(03):201-210.

HUANG Xinbo,ZHANG Xiaoling,ZHANG Ye,et al.State Identification of Transmission Line Defect Based on Radial Basis Probabilistic Neural Network[J].Automation of Electric Power Systems,2020,44(03):201-210.
黄新波,章小玲,张烨等.基于径向基概率神经网络的输电导线缺陷状态识别[J].电力系统自动化,2020,44(03):201-210. DOI： 10.7500/AEPS20190122004.

HUANG Xinbo,ZHANG Xiaoling,ZHANG Ye,et al.State Identification of Transmission Line Defect Based on Radial Basis Probabilistic Neural Network[J].Automation of Electric Power Systems,2020,44(03):201-210. DOI： 10.7500/AEPS20190122004.

摘要

输电导线作为承担电能传输任务的重要部件，及时发现其本体缺陷对指导维修避免重大电力事故的发生具有重要意义。考虑到无人机巡检中输电导线背景的复杂性和导线表面缺陷检测的困难度，提出一种基于径向基概率神经网络的输电导线缺陷状态识别方法。首先，依次采用加权色差法、最大类间方差法以及形态学滤波实现复杂背景下输电导线的准确分割。其次，将分割出的导线区域等距划分为10个导线子图像，通过Gabor滤波器获得输电导线8个角度、5个尺度的40幅纹理增强子图像，提取各个子图像的粗糙度、对比度和方向度3个纹理特征量，结合特征方差比筛选出10个强纹理特征；最后，将10个强纹理特征量作为径向基概率神经网络的输入，完成输电导线缺陷状态的识别。实验结果表明所提方法可以实现复杂背景下输电导线快速分割与缺陷状态的准确识别，为无人机巡检中输电导线的运行状态检测提供了新的思路。

Abstract

The transmission line plays an important part in power transmission task

so it is of great significance to identify its defects for the maintenance

and the severe power accidents can be avoided or decreased. For the background of images captured by unmanned aerial vehicle is very complex and difficult to be detected

a radial basis probabilistic neural network based fault location identification method for transmission lines is proposed. Firstly

the weighted color difference method

maximum interclass variance method and morphological filtering are sequentially adopted to realize the accurate segmentation of transmission lines in complicated background. Secondly

the segmented line area is equally divided into 10 line sub-images

40 texture enhancement sub-images at 8 angles and 5 dimensions of transmission lines are obtained by Gabor filter

and the roughness

contrast and orientation of each sub-image are also extracted. By the feature variance

10 strong texture features are selected and adopted as the input parameters to the radial basis probabilistic neural network for the defect identification of transmission line. The results show that both the rapid segmentation of transmission lines and the accurate identification of the defects based on the images in the complex background can be achieved by the proposed method

which provides a new idea for the operation state detection of transmission line in unmanned aerial vehicle inspection.

关键词

Keywords

references

HUANG Xinbo , LI Hongbo , ZHU Yongcan . Short-term ice accretion forecasting model for transmission lines with modified time series analysis by fireworks algorithm [J]. IET Generation , Transmission & Distribution , 2018 , 12 ( 5 ): 1074 - 1080 .

HUANG Xinbo , XIE Cheng , LI Husheng . Equivalent salt deposit density optical fiber sensor for transmission lines in power grid [J]. IEEE Sensors Journal , 2017 , 17 ( 1 ): 91 - 99 .

ZHU Yongcan , HUANG Xinbo , JIA Jianyuan , et al . Experimental study on the thermal conductivity for transmission line icing [J]. Cold Regions Science and Technology , 2016 , 129 : 96 - 103 .

李晓辉 . 2018年湖北电网输电线路设备冰冻灾害受损情况分析 [J]. 湖北电力 , 2018 , 42 ( 3 ): 1 - 4 .

LI Xiaohui . Analysis on freezing-caused damage to transmission line equipment of Hubei Power Grid in 2018 [J]. Hubei Electric Power , 42 ( 3 ): 1 - 4 .

HUANG Xinbo , ZHANG Fei , LI Husheng , et al . An online technology for measuring icing shape on conductor based on vision and force sensors [J]. IEEE Transactions on Instrumentation & Measurement , 2017 , 66 ( 12 ): 3180 - 3189 .

ZHAO Long , HUANG Xinbo , ZHAO Yu , et al . Design of a wireless vibration metre for conductor vibration monitoring [J]. Structural Control & Health Monitoring , 2018 , 25 ( 4 ): 2143 - 2147 .

厉启鹏 . 贝叶斯网络在架空电力线路故障诊断中的应用研究 [D]. 北京 : 华北电力大学 , 2012 .

LI Qipeng . The research and application of overhead power line fault diagnosis based on Bayesian network [D]. Beijing : North China Electric Power University , 2012 .

王淼 , 杜伟 , 孙鸿博 , 等 . 基于红外图像识别的输电线路故障诊断方法 [J]. 红外技术 , 2017 , 39 ( 4 ): 383 - 386 .

WANG Miao , DU Wei , SUN Hongbo , et al . Transmission line fault diagnosis method based on infrared image recognition [J]. Infrared Technology , 2017 , 39 ( 4 ): 383 - 386 .

张志劲 , 张伟 , 黎振宇 , 等 . 不同缺陷类型导线的紫外成像检测 [J]. 电网技术 , 2015 , 39 ( 9 ): 2647 - 2652 .

ZHANG Zhijin , ZHANG Wei , LI Zhenyu , et al . UV imaging detection on transmission line of different defect types [J]. Power System Technology , 2015 , 39 ( 9 ): 2647 - 2652 .

孟晓波 , 陈文灿 , 杨代铭 , 等 . 悬垂线夹内导线断股的超声导波检测方法仿真研究 [J]. 智慧电力 , 2018 , 46 ( 7 ): 67 - 74 .

MENG Xiaobo , CHEN Wencan , YANG Daiming , et al . Simulation of ultrasonic guided waves detecting wire breakage inside suspension clamp [J]. Smart Power , 2018 , 46 ( 7 ): 67 - 74 .

夏云峰 , 蒋兴良 , 张志劲 , 等 . 应用小生境遗传算法优化导线钢芯断股漏磁检测传感器 [J]. 中国电机工程学报 , 2011 , 31 ( 19 ): 122 - 128 .

XIA Yunfeng , JIANG Xingliang , ZHANG Zhijin , et al . Optimization design of detector for steel core broken strand faults in transmission line based on niche genetic algorithm [J]. Proceedings of the CSEE , 2011 , 31 ( 19 ): 122 - 128 .

DA FROTA MOREIRA P L , LOURENCO P M , LOURENCO C R S H , et al . Internal corrosion in conductor cables of power transmission lines: characterization of the atmosphere and techniques for faults detection [C]//The 2nd International Multi-Conference on Engineering and Technological Innovation， 2009 , Orlando， USA : 1 - 6 .

齐国顺 , 尚方 , 韩冰 , 等 . 基于图像处理技术的飞机巡线导线断股缺陷检测方法 [J]. 黑龙江电力 , 2017 , 39 ( 6 ): 522 - 526 .

QI Guoshun , SHANG Fang , HAN Bing , et al . Wire breakage defect detection method in the aircraft inspection lines based on image processing technology [J]. Heilongjiang Electric Power , 2017 , 39 ( 6 ): 522 - 526 .

汤明文 , 戴礼豪 , 林朝辉 , 等 . 无人机在电力线路巡视中的应用 [J]. 中国电力 , 2013 , 46 ( 3 ): 35 - 38 .

TANG Mingwen , DAI Lihao , LIN Chaohui , et al . Application of unmanned aerial vehicle in inspecting transmission lines [J]. Electric Power , 2013 , 46 ( 3 ): 35 - 38 .

王万国 , 张晶晶 , 韩军 , 等 . 基于无人机图像的输电线断股与异物缺陷检测方法 [J]. 计算机应用 , 2015 , 35 ( 8 ): 2404 - 2408 .

WANG Wanguo , ZHANG Jingjing , HAN Jun , et al . Broken strand and foreign body fault detection method for power transmission line based on unmanned aerial vehicle image [J]. Journal of Computer Applications , 2015 , 35 ( 8 ): 2404 - 2408 .

孙凤杰 , 杨镇澴 , 李媛媛 , 等 . 输电导线图像目标识别方法 [J]. 中国图象图形学报 , 2012 , 17 ( 3 ): 349 - 356 .

SUN Fengjie , YANG Zhenhuan , LI Yuanyuan , et al . Methods of transmission line target recognition [J]. Journal of Image and Graphics , 2012 , 17 ( 3 ): 349 - 356 .

YAN Guangjian , LI Chaoyang , ZHOU Guoqing , et al . Automatic extraction of power lines from aerial images [J]. IEEE Geoscience and Remote Sensing Letters , 2007 , 4 ( 3 ): 387 - 391 .

蒋兴良 , 夏云峰 , 张志劲 , 等 . 基于优化Gabor滤波器的输电导线断股图像检测 [J]. 电力系统自动化 , 2011 , 35 ( 15 ): 78 - 83 .

JIANG Xingliang , XIA Yunfeng , ZHANG Zhijin , et al . Image detection for broken strand faults of transmission conductor based on optimized Gabor filter [J]. Automation of Electric Power Systems , 2011 , 35 ( 15 ): 78 - 83 .

杨智勇 , 王伟 , 苏帆 , 等 . 采用数字图像处理方法对架空输电导线散股的研究 [J]. 中国电力 , 2014 , 47 ( 1 ): 1 - 7 .

YANG Zhiyong , WANG Wei , SU Fan , et al . Research on untwisted strand of overhead transmission lines based on digital image processing method [J]. Electric Power , 2014 , 47 ( 1 ): 1 - 7 .

黄新波 , 刘新慧 , 张烨 , 等 . 基于红蓝色差和改进 K -means算法的航拍绝缘子分类识别方法 [J]. 高电压技术 , 2018 , 44 ( 5 ): 1528 - 1534 .

HUANG Xinbo , LIU Xinhui , ZHANG Ye , et al . Classification recognition method of insulator in aerial image based on the red-blue difference and developed K -means algorithm [J]. High Voltage Engineering , 2018 , 44 ( 5 ): 1528 - 1534 .

黄新波 , 张慧莹 , 张烨 , 等 . 基于改进色差法的复合绝缘子图像分割技术 [J]. 高电压技术 , 2018 , 44 ( 8 ): 2493 - 2500 .

HUANG Xinbo , ZHANG Huiying , ZHANG Ye , et al . Composite insulator images segmentation technology based on improved color difference [J]. High Voltage Engineering , 2018 , 44 ( 8 ): 2493 - 2500 .

刘新慧 . 输电线路导线断股与损伤的图像识别算法研究 [D]. 西安 : 西安工程大学 , 2018 .

LIU Xinhui . Research on image recognition algorithm for broken strand and damage of transmission line conductor [D]. Xi’an : Xi’an University of engineering , 2018 .

撒雨昕 , 蔡硕 . 基于最优Gabor滤波器的无纺布缺陷检测 [J]. 信息通信 , 2018 ( 10 ): 18 - 20 .

SA Yuxin , CAI Shuo . Non-woven fabric defect detection based on optimized Gabor filter [J]. Information & Communications , 2018 ( 10 ): 18 - 20 .

田欣利 , 王龙 , 王望龙 , 等 . 基于灰度共生矩阵和神经网络的Si3N4陶瓷推挤加工表面纹理分析 [J]. 兵工学报 , 2015 , 36 ( 8 ): 1518 - 1524 .

TIAN Xinli , WANG Long , WANG Wanglong , et al . Analysis of surface texture of push-processed Si3N4 ceramics based on gray level co-occurrence matrix and neural network [J]. Acta Armamentarii , 2015 , 36 ( 8 ): 1518 - 1524 .

HUANG Xinbo , ZHANG Huiying , ZHANG Ye . Automatic identification and location technology of glass insulator self-shattering [J]. Journal of Electronic Imaging , 2017 , 26 ( 6 ): 1 - 12 .

杨文文 , 杨国为 , 张鲁波 , 等 . 基于Laws模板滤波的车标定位算法 [J]. 青岛大学学报(工程技术版) , 2012 , 27 ( 3 ): 46 - 50 .

YANG Wenwen , YANG Guowei , ZHANG Lubo , et al . vehide-logo location algorithm based on Laws’ mask filtering [J]. Journal of Qingdao University (Engineering & Technology Edition) , 2012 , 27 ( 3 ): 46 - 50 .

TAMURA H , MORI S , YAMAWAKI T . Textural features corresponding to visual perception [J]. IEEE Transactions on Systems , Man , and Cybernetics , 1978 , 8 ( 6 ): 460 - 473 .

何炜斌 , 郝艳捧 . 用于重冰区架空输电线路的钢芯铝合金绞线机械特性分析 [J]. 高电压技术 , 2012 , 38 ( 5 ): 1253 - 1259 .

HE Weibin , HAO Yanpeng . Mechanical characteristic analysis of aluminum-alloy conductor steel-reinforced applying in transmission line in heavy icing area [J]. High Voltage Engineering , 2012 , 38 ( 5 ): 1253 - 1259 .

ZHAO Long , HUANG Xinbo , JIA Jianyuan , et al . Detection of broken strands of transmission line conductors using fiber bragg grating [J]. Sensors , 2018 , 18 ( 7 ): 1 - 14 .

黄新波 , 杨璐雅 , 张烨 , 等 . 基于图像增强的瓷质绝缘子灰密程度检测方法 [J]. 电力系统自动化 , 2018 , 42 ( 14 ): 151 - 157 . DOI: 10.7500/AEPS20170614017 http://dx.doi.org/10.7500/AEPS20170614017 .

HUANG Xinbo , YANG Luya , ZHANG Ye , et al . Image enhancement based detection method of non-soluble deposit density levels of porcelain insulators [J]. Automation of Electric Power Systems , 2018 , 42 ( 14 ): 151 - 157 . DOI: 10.7500/AEPS20170614017 http://dx.doi.org/10.7500/AEPS20170614017 .

ZHAO Hongshan , GAO Yufeng , LIU Huihai , et al . Fault diagnosis of wind turbine bearing based on stochastic subspace identification and multi-kernel support vector machine [J]. Journal of Modern Power Systems and Clean Energy . 2019 , 7 ( 2 ): 350 - 356 .

陈卫东 , 梁朔 , 肖园园 , 等 . 基于模糊最小二乘支持向量机的微电网群状态评估方法 [J]. 电力系统自动化 , 2019 , 43 ( 2 ): 76 - 82 . DOI: 10.7500/AEPS20180311001 http://dx.doi.org/10.7500/AEPS20180311001 .

CHEN Weidong , LIANG Shuo , XIAO Yuanyuan , et al . Evaluation method for microgrid cluster state based on fuzzy least squares support vector machine [J]. Automation of Electric Power Systems , 2019 , 43 ( 2 ): 76 - 82 . DOI: 10.7500/AEPS 20180311001 http://dx.doi.org/10.7500/AEPS 20180311001 .

姜涛 , 王长江 , 陈厚合 , 等 . 基于正则化投影孪生支持向量机的电力系统暂态稳定评估 [J]. 电力系统自动化 , 2019 , 43 ( 1 ): 141 - 151 . DOI: 10.7500/AEPS20180601005 http://dx.doi.org/10.7500/AEPS20180601005 .

JIANG Tao , WANG Changjiang , CHEN Houhe , et al . Transient stability assessment of power system based on projection twin support vector machine with regularization [J]. Automation of Electric Power Systems , 2019 , 43 ( 1 ): 141 - 151 . DOI: 10.7500/AEPS20180601005 http://dx.doi.org/10.7500/AEPS20180601005 .

杜吉祥 , 汪增福 . 基于径向基概率神经网络的植物叶片自动识别方法 [J]. 模式识别与人工智能 , 2008 , 21 ( 2 ): 206 - 213 .

DU Jixiang , WANG Zengfu . Plant leaf identification based on radial basis probabilistic neural network [J]. Pattern Recognition and Artificial Intelligence , 2008 , 21 ( 2 ): 206 - 213 .

黄籽博 , 刘任任 , 梁光明 . 基于小波变换和形态学分水岭的血细胞图像分割 [J]. 计算技术与自动化 , 2017 , 36 ( 3 ): 100 - 104 .

HUANG Zibo , LIU Renren , LIANG Guangming . Blood cell image segmentation based on wavelet transform and morphological watershed [J]. Computing Technology and Automation , 2017 , 36 ( 3 ): 100 - 104 .

宋家慧 . 基于遗传算法的最大熵阈值的图像分割 [J]. 电子工程师 , 2005 , 31 ( 2 ): 60 - 63 .

SONG Jiahui . Maximum entropy thresholding image segmentation based on genetic algorithm [J]. Informatization Research , 2005 , 31 ( 2 ): 60 - 63 .

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