基于自适应VMD-WVD的风电叶片主梁层合板损伤演化识别

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摘要

损伤模式作为损伤演化状态的最直观表征方式之一，应用时频分析技术可以描述损伤模式在时频域上的变化规律，从而明确不同阶段的损伤演化状态。但交叉项的存在严重干扰了时频分析中各类损伤模式所传递的时频特征信息。为解决上述问题，提出一种基于改进的自适应变分模态分解(adaptive variational mode decomposition, AVMD)和Wigner-Ville分布的多分量信号交叉项抑制时频分析方法，该方法预先使用短时傅里叶变换预估声发射信号中损伤模式种类及中心频谱，通过VMD模态分量频谱与原信号中心频谱相关性评估筛选出最优惩罚因子，然后计算出各类损伤模式的Wigner-Ville分布。实验结果表明，该方法对损伤模式识别结果与扫描电镜一致且可有效抑制各类损伤模式中Wigner-Ville分布的交叉项干扰。

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	张亚楠
	周勃
	俞方艾
	沈臣

关键词 ：风力机叶片, 损伤演化, 声发射, 自适应变分模态分解, 魏格纳变换

Abstract：

Damage mode is one of the most intuitive ways to characterize the damage evolution state.The time-frequency analysis technique can be used to describe the change law of the damage mode in the time-frequency domain, so as to determine the damage evolution state at different stages.However, the existence of cross terms seriously interferes with the time-frequency characteristic information transmitted by various damage modes in the time-frequency analysis.In order to solve the above problems, a multi-component signal cross-term suppression time-frequency analysis method was proposed based on improved adaptive variational mode decomposition (AVMD) and Wigner-Ville distribution.In this method, the short-time Fourier transform was used to estimate the damage mode type and the center frequency spectrum in the acoustic emission signal.The optimal penalty factor was selected by evaluating the correlation between the VMD mode component frequency spectrum and the original signal center frequency spectrum, and then Wigner-Ville distribution of various damage modes was calculated.Experimental results show that the method is consistent with the results of electron microscope scanning and can effectively suppress the cross-term interference of Wigner-Ville distribution in various damage modes.

Key words： wind turbine blade defect evolution acoustic emission AVMD Wigner transform

收稿日期: 2020-02-21 出版日期: 2021-10-28

引用本文:

张亚楠，周勃，俞方艾，沈臣. 基于自适应VMD-WVD的风电叶片主梁层合板损伤演化识别[J]. 振动与冲击, 2021, 40(20): 25-33.
ZHANG Yanan，ZHOU Bo，YU Fangai，SHEN Chen. Damage evolution identification of wind turbine blade main beam laminate based on adaptive VMD-WVD. JOURNAL OF VIBRATION AND SHOCK, 2021, 40(20): 25-33.

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http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2021/V40/I20/25

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