基于CEEMDAN与SVD的泄流结构振动信号降噪方法

张建伟1,侯鸽1,暴振磊1,张翌娜2,马颖1

振动与冲击 ›› 2017, Vol. 36 ›› Issue (22) : 138-143.

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振动与冲击 ›› 2017, Vol. 36 ›› Issue (22) : 138-143.
论文

基于CEEMDAN与SVD的泄流结构振动信号降噪方法

  • 张建伟1,侯鸽1,暴振磊1,张翌娜2,马颖1
作者信息 +

Signal de-noising method for vibration signal of flood discharge structure based on CEEMDAN and SVD

  • ZHANG Jian-wei1,HOU Ge1,BAO Zhen-lei1,ZHANG Yi-na2,MA Ying1
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摘要

针对泄流结构振动信号非平稳性和特征信息被强噪声淹没的实际问题,提出一种基于具有自适应噪声的完整集成经验模态分解(CEEMDAN)和奇异值分解(SVD)联合的信号降噪方法。首先,对一维泄流振动信号时程进行CEEMDAN分解,将信号分解为一系列固有模态函数分量(IMF),运用频谱分析方法筛选包含主要振动信息的IMF分量,滤除低频水流噪声,实现信号的初次滤波;其次,利用排列熵理论确定含噪声较多的IMF分量,采用奇异值分解技术提取奇异值信息,运用奇异熵增量定阶理论滤除IMF分量中的高频噪声,实现信号的二次滤波;最后,将包含结构振动信息的IMF分量重构,得到泄流结构的工作特征信息。结合拉西瓦模型振动实测数据,运用该方法进行计算分析,滤除高频和低频噪声,提取结构振动特征信息。结果表明该方法在泄流结构特征信息提取方面具有优越性,可为泄流结构在线监测和安全运行提供依据。

Abstract

In order to figure out the actual problem of flood discharge structure non-stationary vibration signal whose feature information submerged by strong noise, a valid signal de-noising method based on Complete Ensemble Empirical Mode Decomposition with adaptive noise (CEEMDAN) and Singular Value Decomposition (SVD) is proposed. Firstly, decompose the signal with CEEMDAN to obtain a series of intrinsic mode functions (IMFs), and screening the IMF containing real physical meaning by using spectrum analysis method to filter out low frequency noise; then permutation entropy theory is used to determine the IMF containing more noise components, and make use of the IMF to get the appropriate features matrix with the phase space reconstruction method, a part of white noises were filtered out by SVD and singular entropy increment theory; finally reconstructed the IMF with characteristic information to achieve the de-noised signal through spectrum analysis. Taking the Laxiwa arch dam hydro-elastic model as object of study, the results show that this method can filter out the vibration noise accurately and retain the characteristic information, which is effective and has highly recognition accuracy. It is a superior de-noising method, which can provide the help for safely operation and on-line dynamic non-destruction monitoring of flood discharge structure.
 

关键词

泄流结构 / 集成经验模态分解 / 排列熵 / 奇异值分解 / 特性信息

Key words

 flood discharge structure / Ensemble Empirical Mode Decomposition / permutation entropy / Singular Value Decomposition / characteristics information.

引用本文

导出引用
张建伟1,侯鸽1,暴振磊1,张翌娜2,马颖1. 基于CEEMDAN与SVD的泄流结构振动信号降噪方法[J]. 振动与冲击, 2017, 36(22): 138-143
ZHANG Jian-wei1,HOU Ge1,BAO Zhen-lei1,ZHANG Yi-na2,MA Ying1. Signal de-noising method for vibration signal of flood discharge structure based on CEEMDAN and SVD[J]. Journal of Vibration and Shock, 2017, 36(22): 138-143

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