内蒙古电力技术2026，Vol.44Issue(2)：63-71,9.DOI:10.19929/j.cnki.nmgdljs.2026.0022
基于扩展频谱时域反射法的电缆故障类型识别改进算法仿真研究
Simulation Research on Enhanced Algorithm for Cable Fault Type Identification Based on Spread Spectrum Time Domain Reflectometry
摘要
Abstract
Aiming at the problem that spread spectrum time delay reflectometry(SSTDR)technology is difficult to realize fault location and type classification synchronously in power cable fault online detection,this paper proposes a cable fault location and type identification system based on long short-term memory(LSTM)network and residual network(ResNet),namely LSTM-ResNet.Firstly,based on the cable traveling wave propagation theory,the propagation and reflection model of SSTDR detection signal is established,and the influence of impedance mutation on the time-frequency characteristics of reflected signal under different fault types is analyzed.Secondly,the cable fault simulation model is built by Matlab/Simulink platform,and the four typical working conditions of open circuit fault,low resistance fault,high resistance fault and local damp are simulated.The results show that the LSTM-ResNet model can achieve a fault classification accuracy of 99.38%on a test set containing 4000 samples.This method can provide new ideas for breaking through the limitations of traditional methods relying on artificial feature design,solving the problem of gradient degradation in deep network training and digital online detection of cable faults.关键词
电缆/故障定位/故障分类/扩展频谱时域反射法/长短期记忆网络/残差网络/行波传播理论Key words
cable/fault location/fault classification/spread spectrum time delay reflectometry(SSTDR)/long short-term memory(LSTM)network/residual network(ResNet)/traveling wave propagation theory分类
信息技术与安全科学引用本文复制引用
王瑞鹏,何志斌,孔祥博,黄松岭..基于扩展频谱时域反射法的电缆故障类型识别改进算法仿真研究[J].内蒙古电力技术,2026,44(2):63-71,9.基金项目
内蒙古电力(集团)有限责任公司科技项目"电力电缆绝缘缺陷在线监测技术研究"(2024-4-1) （集团）
