华东交通大学学报2026，Vol.43Issue(4)：27-36,10.
基于小波法的城市轨道短波不平顺特征识别
Characterization of Short-Wave Irregularities on Urban Rail Transit Tracks Based on the Wavelet Method
摘要
Abstract
The on-site measured data of short-wave irregularities often exhibit non-stationary on urban rail tran-sit track surfaces.This paper employs the wavelet method with multi-resolution and adaptivity is used to study the local characteristics,defect identification and track irregularity power spectrum of non-stationary track sur-face short-wave irregularity.Daubechies10 is selected as the wavelet basis function to identify the waveform characteristics of rail surface shortwave irregularity.Using the Daubechies10 wavelet,the signal is decomposed into 10 layers,and the power spectrum analysis of the decomposed detail signal and the approximation signal is carried out to obtain the contribution of different waveforms to the power spectrum.The wavelet power spectrum of short-wave irregularity of the rail surface in the joint area of the straight section and the curve section of the two track types of the elevated line and the underground line are calculated.The results demonstrate that wavelet basis functions can effectively identify local features of short-wave irregularity waveforms.Through the approxi-mation and detail signals obtained from wavelet decomposition,significant irregularities at wavelengths of 20.298 m and 115.98 m were identified.Power spectrum analysis of these decomposed signals revealed the contri-butions of different waveforms to the power spectrum across various wavelength ranges.The results indicate that the wavelet analysis method can effectively process non-stationary data,providing a robust approach to comprehen-sively analyze the characteristics of short-wave irregularities on urban rail transit track surfaces.关键词
城市轨道交通/短波不平顺/小波工具箱/非平稳信号/小波功率谱Key words
urban rail transit/short-wave irregularity/wavelet analysis/non-stationary signal/wavelet power spectrum分类
交通工程引用本文复制引用
房建,王雨晴,游日亮,杨敏超,邓远星,雷晓燕,练松良..基于小波法的城市轨道短波不平顺特征识别[J].华东交通大学学报,2026,43(4):27-36,10.基金项目
国家自然科学基金项目(51668019) （51668019）
江西省自然科学基金项目(20171BAB206057) （20171BAB206057）
