A study of characteristics extraction of dynamic pressure signals in pipeline based on EMD
Wei Liu1, 2, Hongzhao Liu1
1School of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an, Shaanxi, 710048, China
2Department of Computer Science and Technology, Shaanxi Xueqian Normal University, Xi’an, Shaanxi 710100, China
Characteristic selection is a key to accurate signal recognition. Specific to the signal recognition of dynamic pressure waves in pipelines, this article proposes to use EMD method to decompose dynamic pressure signals into a series of IMFs, adopt the correlation theories of signals to determine and eliminate noise, retain valid IMFs from 4th to 8th level and extract kurtosis, energy and statistical characteristics. The experiment analyses and verifies that the energy or statistical characteristics (mean variance, mean standard deviation, mean range and mean quartile range) can effectively represent signals.