Characteristic information extraction of pressure pulsation signal in axis-flow pump based on EEMD and HT
 
LIU Tao， HUANG Qi-bai
（State Key Lab of Digital Manufacturing Equipment and Technology， Huazhong University
of Science and Technology， Wuhan 430074， China）

Abstract： In order to extract the characteristic information of pressure pulsation signal，a time-frequency analysis method based on ensemble empirical mode decomposition（EEMD） and Hilbert transform（HT） was presented. By comparing the decomposition results of original empirical mode decomposition（EMD） and EEMD，it was proved that the EEMD can avoid the drawback of mode mixing which appears in original EMD method. EEMD and Hilbert transform were applied to extract the time-frequency characteristics of pressure pulsation signal in an axis-flow pump. The decomposition results show that the EEMD method can accurately identify the frequency components and the time variation of pressure pulsation signal.
Key words： axis-flow pump；Hilbert transform；pressure pulsations；empirical mode decomposition（EMD）；mode mixing；ensemble empirical mode decomposition（EEMD）