基于ICEEMDAN-SSA-Wavelet的声发射信号降噪研究  

Research on acoustic emission signal denoising based on ICEEMDAN⁃SSA⁃Wavelet

作　　者：姚慧栋 金永[1] 王江 李玉珠 YAO Huidong;JIN Yong;WANG Jiang;LI Yuzhu(School of Information and Communication Engineering,North University of China,Taiyuan 030051,China)

机构地区：[1]中北大学信息与通信工程学院,山西太原030051

出　　处：《现代电子技术》2024年第5期93-97,共5页Modern Electronics Technique

摘　　要：针对粘接件声发射(AE)信号含有噪声分量难以滤除的问题,提出一种改进ICEEMDAN的方法。该方法首先使用ICEEMDAN分解原始AE信号,并通过相关系数和能量差值的方法筛选出低频分量和高频分量;运用麻雀优化算法(SSA)优化后的改进小波阈值去噪算法对其进行去噪;最后将保留的低频分量和去噪后的高频分量重构成一个新的信号,通过实验数据对比和分析评估降噪效果。实验结果表明,相较于改进小波阈值去噪和ICEEMDAN去噪,文中提出的方法对金属与非金属粘接件AE信号的降噪效果更好,能够保护原始信号的频域信息,进而提高脱粘检测精度。In view of the fact that the acoustic emission(AE)signals of adhesive joints contain noise components which are difficult to filter out,a method named ICEEMDAN(improved complete ensemble empirical mode decomposition with adaptive noise)is proposed.In this method,ICEEMDAN is first used to decompose the original AE signal,and the low⁃frequency component and high⁃frequency component are screened out by the correlation coefficient and energy difference,and the improved wavelet threshold denoising algorithm optimized by the sparrow search algorithm(SSA)is used to denoise them.The retained low⁃frequency components and the high⁃frequency components after denoising are reconstructed into a new signal,and the noise reduction effect is evaluated by comparison and analysis of experimental data.The experimental results indicate that the proposed method achieves better denoising for AE signals of both metallic and non⁃metallic adhesive joints in comparison with the improving wavelet thresholding denoising and ICEEMDAN denoising.It can effectively preserve the frequency domain information of the original signal,and furthermore improve the accuracy of debonding detection.

关 键 词：ICEEMDAN去噪 小波阈值去噪 声发射信号 金属与非金属粘接件 SSA 信号降噪 

分 类 号：TN911.7-34[电子电信—通信与信息系统]