基于小波变换自适应匹配的高速铁路牵引网故障单端行波定位法

为减少高速铁路牵引网故障行波传播色散特性对行波波头检测和波速测量的影响,提高高速铁路牵引网故障行波定位的准确度,提出了基于小波变换自适应匹配的高速铁路牵引网故障行波定位方法。该法结合小波变换奇异性与相似性算法,对行波信号进行分析,提取小波函数多尺度分解结构重构的高频信号进行故障行波定位。行波波头到达时间由该高频信号经相似性算法分析,获取特征值点位置计算。行波的传播参考速度由模拟实验分析结果所得。现场测试故障行波数据分析表明,该高速铁路牵引网故障行波定位方法能有效提取故障行波特征,并消除行波传播色散特性影响,定位误差<100 m。

Method of High-speed Railway Traction Nets Fault Single-ended Traveling-wave Positioning Based on Wavelet Transform Adaptive Matching

In order to reduce the influence of the transmission dispersion characteristics of high-speed railway traction nets faults generated traveling-wave on the wave head detection and the wave transmission velocity measurement, and to improve the faults positioning precision, a fault positioning method based on wavelet transform adaptive matching is presented. For the traveling-wave analysis, the method combined with wavelet transform singularity and similarity algorithm, extracting the reconstruction high-frequency signal of wavelet function multi-scale decomposing structure , then calculated fault traveling-wave positioning. Getting the characteristic value point position to calculate the head of traveling-wave arrival time by similarity algorithm analysis the high frequency signal. Obtained the reference speed of the traveling wave spread by simulation experiment results. Analysis of the field test fault traveling-wave data showed that the high-speed railway traction nets fault positioning method can extract the faults characteristic effectively and eliminate the influence of traveling-wave dispersion characteristic, and the fault positioning error is no more than 100 meter.