铁路信号电缆故障频域检测法OA
A frequency-domain detection method for railway signal cable faults
铁路信号电缆的故障检测对铁路系统的安全运行具有重要意义.针对铁路信号电缆最为常见的高阻故障问题,通过测量多根1 m 电缆的电气参数,分析铁路信号电缆结构的不均匀特性,并构建电缆不均匀参数的正态模型,建立铁路信号电缆的不均匀高阻故障仿真模型,验证了频域反射法(frequency domain reflectometry,FDR)在定位铁路信号电缆高阻故障方面的可行性.基于FDR法设计硬件系统,向电缆发射0.1~5 MHz扫频信号,并通过中频检波采集到了FDR方法所需回波信号,在上位机进行数据处理,实现了1 000 m内0.1 MΩ和0.5 MΩ的高阻故障定位,验证了FDR方法在检测铁路信号电缆高阻故障中的实际效果.
Fault detection of railroad signal cables is of great significance for ensuring the safe operation of railroad systems.To address the most common high-resistance fault problem in railroad signal cables,the inhomogeneous characteristics of cable structures are analyzed by measuring the electrical parameters of multiple 1 m cable segments.Based on these measurements,a normal model of inhomogeneous cable parameters is constructed,followed by the establishment of an inhomogeneous high-resistance fault simulation model for railroad signal cables.The feasibility of the frequency-domain reflectometry(FDR)method for locating high-resistance faults in railroad signal cables is then verified.Furthermore,a dedicated hardware system based on the FDR method is independently designed.This system transmits a 0.1 MHz to 5 MHz swept-frequency signal into the cable and collects the reflected signals required for FDR analysis through an intermediate-frequency detector.The collected data are subsequently processed on a host computer to realize the localization of high-resistance faults with resistance values of 0.1 MΩ and 0.5 MΩ within a cable length of 1 000 m.Experimental results confirm the effectiveness and accuracy of the FDR method for detecting and locating high-resistance faults in railroad signal cables.
晋科;徐征
重庆大学 电气工程学院,重庆 400044重庆大学 电气工程学院,重庆 400044
信息技术与安全科学
铁路信号电缆故障检测高阻故障频域反射法
railway signal cablesfault detectionhigh-resistance faultsfrequency-domain reflectometry
《重庆大学学报》 2026 (3)
25-37,13
东莞供电局2022年用户负荷人工智能分析算法及非接触式前端传感系统研究科技项目.Supported by Research Project on Artificial Intelligence Analysis Algorithm of User Load and Non-contact Front-end Sensing System in Dongguan Power Supply Bureau in 2022.
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