基于VMD和Chirplet变换的结构损伤识别研究

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振动与冲击 ›› 2023, Vol. 42 ›› Issue (8) : 282-288.

论文

张健1，程雪莉1，袁平平2，段明磊3，任伟新4

作者信息 +

Structural damage detection based on variational mode decomposition and the Chirplet transform

ZHANG Jian1, CHENG Xueli1, YUAN Pingping2, DUAN Minglei3, REN Weixin4

Author information +

文章历史 +

摘要

为识别结构损伤位置及对损伤程度进行量化，提出了一种基于变分模态分解（Variational Mode Decomposition, VMD）和Chirplet变换的结构损伤识别方法。采用VMD对结构振动响应信号进行分解得到模态分量，并利用Chirplet变换对模态分量进行时频分析，构建模态分量Chirplet变换能量指标进行损伤位置识别，利用Chirplet时频熵对结构损伤程度进行量化。采用一个刚度变化的简支梁数值算例对所提方法进行了验证，结果表明，无论是单点损伤还是多点损伤，提出的方法均能准确识别结构的损伤位置及对损伤程度进行量化。

Abstract

In order to identify damage location and quantify damage degree, a structural damage detection method based on variational mode decomposition (VMD) and Chirplet transform was proposed. VMD was used to decompose structural vibration response signal to obtain modal components, and then Chirplet transform was applied for time-frequency analysis of the modal components. The energy index of modal component Chirplet transform was constructed for damage location identification, and the Chirplet transform time-frequency entropy was defined to quantify the degree of structural damage. The proposed method was verified by a numerical example of a simply supported beam with varied stiffness. The results show that the proposed method can accurately identify the damage location and quantify the damage degree of the structure regardless of single point damage or multi-point damage.

导出引用

张健1，程雪莉1，袁平平2，段明磊3，任伟新4. 基于VMD和Chirplet变换的结构损伤识别研究[J]. 振动与冲击, 2023, 42(8): 282-288

ZHANG Jian1, CHENG Xueli1, YUAN Pingping2, DUAN Minglei3, REN Weixin4. Structural damage detection based on variational mode decomposition and the Chirplet transform[J]. Journal of Vibration and Shock, 2023, 42(8): 282-288

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