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低速行驶地铁轨道振动信号小波去噪参数研究

曾宇 邬玉斌 宋瑞祥 户文成

噪声与振动控制2019,Vol.39Issue(1):151-155,200,6.
噪声与振动控制2019,Vol.39Issue(1):151-155,200,6.DOI:10.3969/j.issn.1006-1355.2019.01.029

低速行驶地铁轨道振动信号小波去噪参数研究

Study onWavelet De-noising Parameters of Track Vibration Signal for Metro with the Train Traveling on at Low Speed

曾宇 1邬玉斌 1宋瑞祥 1户文成1

作者信息

  • 1. 北京市劳动保护科学研究所, 北京 100054
  • 折叠

摘要

Abstract

According to the track vibration acceleration signal of metro with the train traveling at low speed, the influence of selection of wavelet de-noising parameters on the de-noising effect is analyzed. With the track acceleration test data of a section of a metro line in Beijing as an example, wavelet decomposition, threshold de-noising and reconstruction of track vibration signal are carried out. The signal-to-noise ratio is used as the evaluation index of the de-noising quality. Kruskal-Wallis non-parametric test method is used to analyze the influences of wavelet series, wavelet order, wavelet decomposition layer number and threshold selections on the de-noising effect. With the maximum signal-to-noise ratio as the target, the best wavelet de-noising parameters of the metro track vibration signal is determined. The results show that the selection of wavelet series and wavelet order has no significant influences on the wavelet de-noising effect of the metro track vibration signal, and the influences of different wavelet decomposition layer number and the threshold on the wavelet denoising effect of the metro track vibration signal are different. The maximum signal-to-noise ratio is obtained based on sym4 wavelet base, Stein's unbiased risk threshold and soft threshold function. The signal after de-noising preserves the peak characteristic of the original signal, and the smoothness of the signal curve has been greatly improved.

关键词

振动与波/地铁轨道/低速行驶/小波去噪/参数研究

Key words

vibration and wave/metro track/low speed/wavelet de-noising/parameter study

分类

通用工业技术

引用本文复制引用

曾宇,邬玉斌,宋瑞祥,户文成..低速行驶地铁轨道振动信号小波去噪参数研究[J].噪声与振动控制,2019,39(1):151-155,200,6.

基金项目

北京市财政资助项目(PXM2018_178304_000008) (PXM2018_178304_000008)

北京市科学技术研究院创新团队计划资助项目(IG201803N) (IG201803N)

噪声与振动控制

OACSCDCSTPCD

1006-1355

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