基于集合经验模态分解的超声检测信号处理

Ultrasonic testing signal processing based on EEMD

摘要: 提出基于集合经验模态分解（EEMD）的超声无损检测信号处理方法。此方法在信号重构时，采用分量信号与原始信号之间的相关系数进行特征选取，可以有效地抑制模态混叠现象。通过仿真与实测信号的验证，集合经验模态分解方法更适用于超声无损检测信号的处理。

Abstract: This paper proposes an ultrasonic nondestructive testing signal processing method based on ensemble empirical mode decomposition (EEMD) method. This method uses the correlation coefficient between the component signal and the original signal for feature selection during signal reconstruction, which can effectively suppress modal aliasing. Through the verification of simulation and measured signals, the ensemble empirical mode decomposition method is more suitable for the processing of ultrasonic nondestructive testing signals.