Ultrasound signal processing based on joint GWO-VMD wavelet threshold functions

被引：15

作者：

Li, Hu ^{[1
]}

Li, Songsong ^{[1
]}

Sun, Jiao ^{[1
]}

Huang, Benchi ^{[1
]}

Zhang, Jiaqi ^{[1
]}

Gao, Mingyang ^{[1
]}

机构：

[1] Dalian Ocean Univ, Coll Informat Engn, Dalian, Peoples R China

来源：

MEASUREMENT | 2024年 / 226卷

基金：

中国国家自然科学基金;

关键词：

Nondestructive testing; Variational modal decomposition; Threshold function; Signal-to-noise ratio;

D O I：

10.1016/j.measurement.2024.114143

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

To overcome the problem of noise interference in the ultrasonic echo signal received by the probe in ultrasonic nondestructive testing, a method of ultrasonic signal processing using the jointed wavelet threshold function of GWO-VMD (Grey Wolf Optimisation, Variational Mode Decomposition) is proposed. The method first uses the GWO algorithm to optimise the VMD parameters to find the optimal parameter combination penalty factor alpha and decomposition modulus number K, and then uses the correlation coefficient method to differentiate between the desired signal and noise components after decomposition to obtain the intrinsic mode function (IMF) components. Secondly, the noise components are processed by combining the improved wavelet threshold function algorithm, and lastly, each modal component is restored to produce a denoised signal. Experimental results show that the method improves the signal-to-noise ratio (SNR) by 2.55%, reduces the root mean square error (RMSE) by 3.8%, preserves more useful information, and is more effective in denoising.

引用

页数：13

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