测试科学与仪器2025，Vol.16Issue(1)：58-65,8.DOI:10.62756/jmsi.1674-8042.2025006
基于EEMD互相关算法在多普勒流量信号中的应用
Application of EEMD combined with cross-correlation algorithm in Doppler flow signal
摘要
Abstract
To address the issue of low measurement accuracy caused by noise interference in the acquisition of low fluid flow rate signals with ultrasonic Doppler flow meters,a novel signal processing algorithm that combines ensemble empirical mode decomposition(EEMD)and cross-correlation algorithm was proposed.Firstly,a fast Fourier transform(FFT)spectrum analysis was utilized to ascertain the frequency range of the signal.Secondly,data acquisition was conducted at an appropriate sampling frequency,and the acquired Doppler flow rate signal was then decomposed into a series of intrinsic mode functions(IMFs)by EEMD.Subsequently,these decomposed IMFs were recombined based on their energy entropy,and then the noise of the recombined Doppler flow rate signal was removed by cross-correlation filtering.Finally,an ideal ultrasonic Doppler flow rate signal was extracted.Simulation and experimental verification show that the proposed Doppler flow signal processing method can effectively enhance the signal-to-noise ratio(SNR)and extend the lower limit of measurement of the ultrasonic Doppler flow meter.关键词
超声多普勒流量计/集合经验模态分解/互相关/快速傅里叶频谱分析/能量熵Key words
ultrasonic Doppler flow meter/ensemble empirical mode decomposition(EEMD)/cross-correlation/fast Fourier transform (FFT) spectrum analysis/energy entropy引用本文复制引用
史风栋,巩瑞士,梁通通,吕东..基于EEMD互相关算法在多普勒流量信号中的应用[J].测试科学与仪器,2025,16(1):58-65,8.基金项目
This work was supported by National Natural Science Foundation of China(No.61973234),and Tianjin Science and Technology Plan Project(No.22YDTPJC00090). （No.61973234）
