Time-frequency and attenuation analysis of shallow tunnel high-speed 
railway vibration signal based on high-order local 
maximum synchrosqueezing transform

JIA Bao-xin; ZHAI Zi-wei; ZHANG Jing; ZHOU Zhi-yang; YUAN Wen-ya; ZHENG Ke-nan

doi:10.16285/j.rsm.2024.0262

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Time-frequency and attenuation analysis of shallow tunnel high-speed railway vibration signal based on high-order local maximum synchrosqueezing transform

更新时间：2026-06-25

- Time-frequency and attenuation analysis of shallow tunnel high-speed railway vibration signal based on high-order local maximum synchrosqueezing transform
- Vol. 46, Issue 1, Pages: 337-352(2025)
- 作者机构：
  
  1. ．辽宁工程技术大学土木工程学院,辽宁,阜新,123000
  2. ．辽宁工程技术大学辽宁省矿山沉陷灾害防治重点实验室,辽宁,阜新,123000
- 作者简介：
- 基金信息：
- DOI：10.16285/j.rsm.2024.0262
  CLC： U238;U459.1
- Online First：04 January 2025，
  
  Published：2025
- 稿件说明：
移动端阅览
JIA Bao-xin, ZHAI Zi-wei, ZHANG Jing, et al. Time-frequency and attenuation analysis of shallow tunnel high-speed railway vibration signal based on high-order local maximum synchrosqueezing transform[J]. 2025, 46(1): 337-352.
DOI：

JIA Bao-xin, ZHAI Zi-wei, ZHANG Jing, et al. Time-frequency and attenuation analysis of shallow tunnel high-speed railway vibration signal based on high-order local maximum synchrosqueezing transform[J]. 2025, 46(1): 337-352. DOI： 10.16285/j.rsm.2024.0262.

摘要

为解决浅埋隧道上覆地表采集到的高铁振动信号底噪丰富的问题，提出一种适用于浅埋隧道上覆地表高铁振动信号降噪的高阶局部最大值同步挤压变换方法。首先，引入高阶调制算子推导高阶估算瞬时频率，结合局部最大值同步挤压变换推导出高阶局部最大值同步挤压变换，通过数值模拟多分量加噪信号验证该方法的抗噪性；随后，对高铁振动信号进行相关时频分析、处理，对比验证高阶局部最大值同步挤压变换的降噪效果和适用效果；最后，基于此方法对高铁振动信号的时频及衰减特征进行分析。研究可为隧道场地高铁振动信号提供一种谱精度高、降噪效果好的时频分析方法，并为隧道场地中高铁振动的环境影响研究提供理论分析基础。

Abstract

To address the issue of excessive noise in high-speed railway vibration signals acquired from the surface of shallowly buried tunnels

a high-order local maximum synchrosqueezing transform (HLMSST) method is introduced for noise reduction in high-speed railway vibration signals traversing shallow tunnels. Firstly

a high-order modulation operator is introduced to calculate the instantaneous frequency for high-order estimation. Subsequently

a HLMSST is developed by integrating the local maximum synchrosqueezing transform. Its anti-noise performance is validated through numerical simulation using a multicomponent noise signal. Next

the vibration signal from high-speed railway is analyzed using correlation time-frequency analysis to confirm the noise reduction and applicability of the HLMSST. Finally

the time-frequency and attenuation characteristics of high-speed railway vibration signals are analyzed using the correlation time-frequency analysis method. The study can provide a time-frequency analysis method that offers high spectral accuracy and effective noise reduction for vibration signals from high-speed railways in tunnel environments. It further establishes a theoretical foundation for investigating the environmental impacts of such vibrations.

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