基于同步压缩变换和局部替代数据的非平稳振动信号分解方法

胡异丁;任伟新;杨栋;

振动与冲击 ›› 2013, Vol. 32 ›› Issue (23) : 43-47.

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振动与冲击 ›› 2013, Vol. 32 ›› Issue (23) : 43-47.
论文

基于同步压缩变换和局部替代数据的非平稳振动信号分解方法

  • 胡异丁1,2, 任伟新3, 杨栋3,4
作者信息 +

Nonstationary vibration signal decomposition based on synchrosqueezing transform and local surrogate methods

  • HU Yi-ding 1,2, REN Wei-xin3 , YANG Dong3,4
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文章历史 +

摘要

实际工程振动信号往往包含非平稳信息,时频分析是一种目前最为常用的非平稳信号分析方法。同步压缩变换把小波时间-尺度平面转化成了时间-频率平面,提高了时频分辨率。替代数据在时频上可对信号平稳性进行检验。采用同步压缩变换时频分析和替代数据检测信号平稳性。结合局部替代数据,在时频面上通过评价时频幅度谱的统计特性,对平稳和非平稳成分进行分解。保持原信号相位谱,将分解的成分用同步压缩反变换恢复出时域信号,提供了一种将非平稳信号分解成平稳和非平稳两部分成分的方法。数值算例验证了该方法的有效性。

Abstract

Engineering vibration signals usually include nonstationary information. Time-Frequency analysis is one of the most popular methods in nonstationary signal processing. Synchrosqueezing transform converts the time-scale plane of wavelet to the time-frequency plane, and improves the time frequency resolution. The surrogate method tests the stationarity in time-frequency plane. Stationarity testing is presented on synchrosqueezing transform time-frequency plane. Based local surrogate method, statistical properties of the amplitude spectra are analyzed, and stationary and nonstationary components are decomposed on the time-frequency plane. While retaining phase spectra of the original signal, the two components in time domain are recovered through inverse synchrosqueezing transform, thereby a method of decomposing a nonstaionary signal into stationary component and nonstationary component is presented. Numerical examples are given to illustrate the efficiency of this method.


关键词

同步压缩变换 / 时频分析 / 替代数据 / 平稳性检测 / 非平稳信号分解

Key words

synchrosqueezing transform / time-frequency analysis / surrogate data / stationarity test / nonstaionary signal decomposition

引用本文

导出引用
胡异丁;任伟新;杨栋;. 基于同步压缩变换和局部替代数据的非平稳振动信号分解方法[J]. 振动与冲击, 2013, 32(23): 43-47
HU Yi-ding;REN Wei-xin;YANG Dong;. Nonstationary vibration signal decomposition based on synchrosqueezing transform and local surrogate methods[J]. Journal of Vibration and Shock, 2013, 32(23): 43-47

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