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，并进行电缆不均匀参数的正态模型搭建，最后建立了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(FDR)在定位铁路信号电缆高阻故障方面的可行性。并基于FDR法自主设计了一套硬件系统，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，后续在上位机进行数据处理，实现了1000 m内0.1MΩ和0.5MΩ的高阻故障定位,进一步验证了 FDR方法在检测铁路信号电缆高阻故障中的实际定位效果。

Fault detection of railroad signal cable is of great significance to the safe operation of railroad system. For the most common high-resistance fault problem of railroad signal cable, the inhomogeneous characteristics of railroad signal cable structure are analyzed by measuring the electrical parameters of several 1 m cables, and the normal model of cable inhomogeneous parameters is constructed, and finally the inhomogeneous high-resistance fault simulation model of railroad signal cable is established. The feasibility of the Frequency-domain reflection (FDR) method in locating high resistance faults in railroad signal cables is verified. And a hardware system is designed independently based on the FDR method, which transmits a 0.1~5 MHz sweep signal to the cable and collects the echo signal required by the FDR method through the intermediate frequency detector, and then subsequently carries out the data processing in the upper computer to realize the localization of high-resistance faults of 0.1 MΩ and 0.5 MΩ within 1000 m. The actual localization effect of the FDR method in detecting high resistance faults in railroad signal cables is verified.

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