基于EMD的小波脊线法轨道检测

轨道的波浪弯曲不平顺是引起列车振动的直接因素。针对波浪不平顺提出了一种新的检测方法。基于经验模态分解的小波脊线法，滤去原始信号的高频部分，再对低频分量进行EMD处理，提取包含了故障信息的固有模态函数分量（IMF）的小波脊线。通过分析小波脊线的时频域，检测出突变信号发生的时刻。对列车在某线路的实测数据分析，研究结果表明，基于EMD的小波脊线法能方便而有效地检测出信号的突变成分，从而准确地识别轨道的不平顺位置。

Track detection of wavelet ridge method based on EMD

Railway track irregularity is an immediate factor of train vibration.An Empirical Mode Decomposition（EMD） based wavelet ridge method is proposed for detecting the railway track irregularity. The high-frequency components of the original signal are filtered. Afterwards, the EMD is implemented on the low-frequency components. Then, the wavelet ridge of the Intrinsic Mode Function（IMF） component is extracted, which contains the irregularity information. According to analysis of the wavelet bridge’s frequency domain, the transient signal’s time can be confirmed.The analysis of the measured data for a track shows that the wavelet bridge method based on EMD can detect the singularity component of signals expediently and effectively and thus determining the position of rail irregularity exactly.