| Citation: | YAO Fengyan, ZHOU Tian, SUN Zhiqianget al. Vortex flowmeter wake fluctuation characteristics based on EEMD-Hilbert spectrum[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(2): 395-402. doi: 10.13700/j.bh.1001-5965.2016.0125(in Chinese)
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In order to study the wake oscillation characteristics of vortex flowmeter, the ensemble empirical mode decomposition (EEMD)-Hilbert spectral method was employed to analyze the wall differential pressure signal of vortex flowmeter using air as the medium, whose volumetric flow rate is in the range 10.58-220 m3/h. First, the wall pressure differential signal was decomposed by the EEMD method, obtaining the intrinsic mode functions (IMFs), which were later transformed by the Hilbert transform to acquire the Hilbert spectrum and the marginal spectrum. Thus the vortex shedding frequency of the wall pressure differential signals were extracted. The performance of signal denoising and frequency extraction was compared between the Fourier transform and EEMD-Hilbert spectral method. The results show that the EEMD-Hilbert spectral method is fully adequate in eliminating the noise imposed on the vortex signals, resulting in the intact wake oscillation components. In lower flow rate ranges, the EEMD-Hilbert spectral method performs 30% more accurately in extracting the wake frequency compared to the results of the Fourier transform, thus extending the lower effective range of the vortex flowmeter. By computing the energy ratio, the reason for the high accuracy of the EEMD-Hilbert spectral method was uncovered, that is, the EEMD-Hilbert spectral method decreased the signal to noise ratio. The Hilbert spectrum visually depicts the relationship among time, frequency and energy.
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