文章摘要
杨斌,易朋兴,郝峥旭.用于电磁超声检测信号的联合降噪方法*[J].,2025,44(2):519-528
用于电磁超声检测信号的联合降噪方法*
A combined noise reduction method for electromagnetic ultrasonic detection signals
投稿时间:2023-10-20  修订日期:2025-03-05
中文摘要:
      为自适应地滤除电磁超声检测信号中的低频偏置与高频噪声,降低噪声对后续信号特征分析的影响,笔者提出了一种将变分模态分解与改进阈值的小波变换相结合的二级框架降噪算法。该方法首先使用变分模态分解对信号进行分解并使用评价系数选择合适的模态函数分量对信号进行重构,之后使用改进阈值的小波变换法进行二次滤波。通过对不同噪声水平的仿真信号进行降噪处理,验证了该方法的优越性,在实际缺陷检测信号的降噪处理中也表现出了优异的性能。因此,该方法能够用于电磁超声检测信号的降噪。
英文摘要:
      To filter out the low-frequency bias and high-frequency noise in the electromagnetic ultrasonic detection signal adaptively, and reduce the influence of noise on the subsequent signal characteristic analysis, a two-level frame noise reduction algorithm combining variational mode decomposition and improved threshold wavelet transform was proposed. In this method, the signal is decomposed by variational mode decomposition, and the signal is reconstructed by selecting the appropriate mode function component with evaluation coefficient. Then the wavelet transform method with improved threshold is used for the signal secondary filtering. The superiority of the method is verified by the simulation signal with different noise levels, and the excellent performance is also shown in the real defect detection signal. Therefore, the method can be used to reduce the noise of electromagnetic ultrasonic detection signals.
DOI:10.11684/j.issn.1000-310X.2025.02.028
中文关键词: 电磁超声信号  变分模态分解  小波降噪  阈值函数
英文关键词: Electromagnetic ultrasonic signal  Variational mode decomposition  Wavelet reduction noise  Threshold function
基金项目:国家重点研发项目
作者单位E-mail
杨斌 华中科技大学机械科学与工程学院 1617768486@qq.com 
易朋兴* 华中科技大学机械科学与工程学院 m202170484@hust.edu.cn 
郝峥旭 华中科技大学机械科学与工程学院 1902269023@qq.com 
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