基于2D位移激光传感器的钢轨波磨动态检测方法

Dynamic measurement method for rail corrugation based on 2D displacement laser sensor

针对2D位移激光传感器在高速和宽波段的钢轨波磨动态测量过程中受到点头振动和噪声干扰的问题,提出一种基于经验模态分解(EMD)的分趋势式数据拼接方法。首先,将采集到的波磨数据进行EMD,并将其分为长趋势与短趋势;然后,通过盲识别方法提取出数据采集中产生的偏移角度,从而准确提取出相邻采样数据之间的相干数据集;最后,通过不同趋势段的数据配准完成相邻采样数据集的拼接。实验结果表明:所提方法可稳定、精确地在真实铁路测量环境中对钢轨波磨进行测量。

Aiming at the problems of 2D displacement laser sensor disturbed by nodding vibration and noise interference in process of high-speed and broadband rail corrugation dynamic measurement,a sub-trend data splicing method based on empirical mode decomposition(EMD)is proposed.Firstly,EMD is used to decompose the collected data,which is divided into long trend and short trend.Then,the blind recognition method is used to extract the offset angle generated in the data acquisition,so as to accurately extract the coherent datasets between the adjacent sampling data.Finally,data registration of different trend segments is used to complete the splicing of adjacent sampling datasets.The experimental results show that the proposed method can measure rail corrugation stably and accurately in real railway measurement environment.