基于钢轨电位时空关联的钢轨对地绝缘缺陷诊断方法
潘卫国1李田2吴鹤翔1黄晓鹏3刘炜3
Rail-to-ground Insulation Defect Diagnosis Method Based on Spatiotemporal Correlation of Rail Potential
PAN Weiguo1LI Tian2WU Hexiang1HUANG Xiaopeng3LIU Wei3
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作者信息:1.北京全路通信信号研究设计院集团有限公司， 100071， 北京
2.国网湖南省电力有限公司益阳供电分公司， 413099， 益阳
3.西南交通大学电气工程学院， 611756， 成都
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Affiliation:1.Beijing National Railway Communication Signal Research and Design Institute Group Co., Ltd., 100071, Beijing, China
2.Yiyang Power Supply Branch, State Grid Hunan Electric Power Co., Ltd., 413099, Yiyang, China
3.School of Electrical Engineering, Southwest Jiaotong University, 611756, Chengdu, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2024.04.023
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中图分类号/CLCN:U231.8:U226
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栏目/Col:研究报告
摘要:
［目的］以钢轨电位为监测对象的各监测点数据间在时空上存在关联，钢轨对钢筋结构电阻变化后的直接表现形式为钢轨电位的变化。应基于钢轨电位时空关联的特点，对钢轨对地绝缘状态监测及缺陷诊断的方法进行深入研究。［方法］阐述了以钢轨电位为监测对象的杂散电流监测系统。对绝缘缺陷下的钢轨电位数据特征进行了分析，建立了数据的特征矩阵。基于闵可夫斯基距离的异常检测原理，阐述了钢轨对地绝缘异常区段的检测步骤，以及绝缘缺陷定位的检测步骤，提出了基于钢轨电位时空关联的钢轨绝缘缺陷诊断方法。以青岛某城市轨道交通工程为案例进行建模仿真，用以评估所提方法的有效性及准确性。［结果及结论］该方法能对钢轨绝缘状态进行有效监测，可准确定位绝缘缺陷位置。
Abstracts:
［Objective］ The data of various monitoring points regarding rail potential as monitoring object is correlated in time and space, and the direct manifestation of changes in rail-to-rebar structural resistance is reflected in rail potential variation. It is aimed to explore a method for monitoring the rail-to-ground insulation state and diagnosing defects based on rail potential spatiotemporal correlation. ［Method］ The stray current monitoring system with rail potential as the monitoring object is elaborated. The characteristics of rail potential data under insulation defects are analyzed and a feature matrix for the data is established. Based on the anomaly detection principle of Minkowski distance, the detection steps for abnormal sections of rail-to-ground insulation and for insulation defect locationing are explained. A project in Qingdao Rail Transit is taken as study case for modeling and simulation to evaluate the effectiveness and accuracy of the proposed method. ［Result & Conclusion］ The proposed method can effectively monitor the rail insulation state and accurately locate insulation defects.
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