基于可见光图像的铁路接触网绝缘子污秽状况检测  

Detection of Contamination of Railway Catenary Insulator Based on Visible Light Image

作　　者：孙磊 吴文海[1] 柯坚[1] 张霆 SUN Lei;WU Wenhai;KE Jian;ZHANG Ting(School of Mechanical Engineering,Southwest Jiaotong University,Chengdu 610031,China)

机构地区：[1]西南交通大学机械工程学院

出　　处：《电瓷避雷器》2019年第5期240-244,共5页Insulators and Surge Arresters

摘　　要：为实现高速铁路接触网绝缘子污秽状况的在线检测,通过分析积污成分与污秽物分布情况,排除可见光图像中干扰因素的同时提取多个特征量描述绝缘子的污秽状况。通过实验样本测试验证该方法的判别精度,准确率可达到0.908,该方法能够有效监测铁路接触网绝缘子的污秽状况。In order to realize on-line detection of insulator contamination status of high-speed railway catenary,by analyzing the distribution of fouling components and pollutants,the interference factors in the visible light image are eliminated,and multiple features are extracted to describe the contamination status of the insulator.The test verifies the accuracy of the method,and the accuracy rate can reach 0.908.This method can effectively monitor the contamination status of the railway catenary insulators.

关 键 词：绝缘子 积污分析 OET阈值分割 颜色特征量 

分 类 号：U22[交通运输工程—道路与铁道工程]