基于同步挤压小波变换的时变结构损伤识别方法研究

刘景良 1 任伟新 2 黄文金 1 黄志伟 1 许旭堂 1

振动与冲击 ›› 2017, Vol. 36 ›› Issue (21) : 8-15.

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振动与冲击 ›› 2017, Vol. 36 ›› Issue (21) : 8-15.
论文

基于同步挤压小波变换的时变结构损伤识别方法研究

  • 刘景良 1  任伟新 2  黄文金 1  黄志伟 1  许旭堂 1
作者信息 +

Damage detection of time-varying strutures based on synchrosqueezing wavelet transform#br#

  • LIU Jing-liang1  REN Wei-xin2  HUANG Wen-Jin1  HUANG Zhi-Wei1  XU Xu-Tang1
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文章历史 +

摘要

提出一种基于同步挤压小波变换的时变结构损伤识别方法。首先采用小波总能量指标识别时变结构的损伤位置,然后对损伤位置处的响应信号进行同步挤压小波变换,识别其瞬时频率并重构本征函数分量信号。在此基础上,求解响应信号的模态振型参与系数比值并联合瞬时频率共同构建了一个新的时变损伤指标(TVDI)。采用一个刚度突变和线性变化的简支梁数值算例对提出的小波总能量和TVDI损伤指标进行了验证,结果表明,提出的指标能够准确地识别结构的损伤位置和时变损伤。

Abstract

A new damage detection method of time-varying structures based on synchrosqueezing wavelet transform is proposed in this paper. The wavelet total energy index is first employed to detect damage locations, and then synchrosqueezing wavelet transform is performed on response signals at structural damage locations. As a result, the instantaneous frequencies are extracted and individual component signals are reconstructed. Then, the new time-varying damage index is defined based on the extracted instantaneous frequencies and modal participation factor ratio calculated from reconstructed individual components. A simply supported beam structure with abrupt and linear time-varying damage are simulated to verify the effectiveness of the presented method. The results demonstrate that the defined time-varying damage index can effectively detect damage locations and track structural time-varying damage.
 

关键词

同步挤压小波变换 / 瞬时频率 / 模态振型参与系数比值 / 时变损伤识别 / 小波总能量

Key words


synchrosqueezing wavelet transform
/ instantaneous frequency / modal participation factor ratio / time-varying damage detection / wavelet total energy

引用本文

导出引用
刘景良 1 任伟新 2 黄文金 1 黄志伟 1 许旭堂 1 . 基于同步挤压小波变换的时变结构损伤识别方法研究[J]. 振动与冲击, 2017, 36(21): 8-15
LIU Jing-liang1 REN Wei-xin2 HUANG Wen-Jin1 HUANG Zhi-Wei1 XU Xu-Tang1. Damage detection of time-varying strutures based on synchrosqueezing wavelet transform#br#[J]. Journal of Vibration and Shock, 2017, 36(21): 8-15

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