基于小波和Wigner-Hough变换的轨道特征不平顺联合分析

Analysis on Track Characteristic Irregularity Based on Wavelet and Wigner-Hough Transform

轨道不平顺时频域分析和引起车体振动的不利波长的准确提取对运营线路的养护维修具有重要的工程意义。本文提出轨道不平顺特征（不利）波长自动提取算法：通过离散小波变换自适应提取轨道不平顺和车体振动响应各频段信号,对各信号进行Wigner-Ville和互’Wigner-Ville时频能量分析,利用Hough变换抑制多分量信号Wigner-Ville变换中的交叉干扰项,导出了轨道不平顺特征（不利）波长提取公式。以朔黄重载铁路2011年7月～2012年10月的轨检数据进行验算,证明了方法的有效性,得出的朔黄重载铁路特征波长统计值对我国重载铁路线路的运营管理和养护维修具有参考价值。

Time-frequency analysis on track irregularity and accurate extraction of detrimental wavelengths causing car-body excitation are of great importance to the repair and maintenance of railway lines.This paper proposed the automatic extraction algorithm of track irregularity characteristic（detrimental） wavelengths：At first,acquiring adaptively the track irregularity and car-body vibration signals in all frequency bands with the DWT（Discrete Wavelet Transform） method,and then analyzing the（cross） Wigner-Ville time-frequency energies for the signals;using the HT（Hough Transform） to further suppress the cross distracters;deriving the formula for extracting track irregularity characteristic（detrimental） wavelengths lastly.The track inspection data of the Shuo-Huang Heavy Haul Railway from 2011.07 to 2012.10 were checked,showing that the automatic extraction algorithm was correct.The statistical values of the track irregularity characteristic wavelengths of the Shuo-Huang Railway are of reference to operating management and maintenance of heavy haul railway in our country.