TY - JOUR
T1 - Hilbert-Huang transform based signal analysis for the characterization of gas-liquid two-phase flow
AU - Ding, Hao
AU - Huang, Zhiyao
AU - Song, Zhihuan
AU - Yan, Yong
PY - 2007/3
Y1 - 2007/3
N2 - This paper reports the application of the Hilbert-Huang Transform (HHT) to the dynamic characterization of gas-liquid two-phase flow in a horizontal pipeline. A differential pressure fluctuation signal of gas-liquid two-phase flow is adaptively decomposed into Intrinsic Mode Functions (IMFs) through the use of Empirical Mode Decomposition (EMD) methods. Based on the EMD, the associated time-frequency-energy distribution, i.e., the Hilbert spectrum, is obtained for the analysis of the differential pressure fluctuation signal and subsequent identification of its corresponding energy characteristics. The relationship between the energy distribution of the signal and the flow pattern is established. In order to assess the effectiveness of the approach, the results obtained using the HHT are compared with those from Fourier analysis and wavelet based methods. It is found that the extracted energy characteristics give a good indication of the dynamic state of the gas-liquid two-phase flow and thus can be used for flow pattern recognition. The proposed method is a useful tool for the in-depth understanding and subsequent quantitative characterization of gas-liquid two-phase flow.
AB - This paper reports the application of the Hilbert-Huang Transform (HHT) to the dynamic characterization of gas-liquid two-phase flow in a horizontal pipeline. A differential pressure fluctuation signal of gas-liquid two-phase flow is adaptively decomposed into Intrinsic Mode Functions (IMFs) through the use of Empirical Mode Decomposition (EMD) methods. Based on the EMD, the associated time-frequency-energy distribution, i.e., the Hilbert spectrum, is obtained for the analysis of the differential pressure fluctuation signal and subsequent identification of its corresponding energy characteristics. The relationship between the energy distribution of the signal and the flow pattern is established. In order to assess the effectiveness of the approach, the results obtained using the HHT are compared with those from Fourier analysis and wavelet based methods. It is found that the extracted energy characteristics give a good indication of the dynamic state of the gas-liquid two-phase flow and thus can be used for flow pattern recognition. The proposed method is a useful tool for the in-depth understanding and subsequent quantitative characterization of gas-liquid two-phase flow.
KW - Differential pressure fluctuation
KW - Empirical mode decomposition
KW - Flow pattern
KW - Gas-liquid two-phase flow
KW - Hilbert-Huang transform
UR - https://www.scopus.com/pages/publications/33847122508
U2 - 10.1016/j.flowmeasinst.2006.12.004
DO - 10.1016/j.flowmeasinst.2006.12.004
M3 - 文章
AN - SCOPUS:33847122508
SN - 0955-5986
VL - 18
SP - 37
EP - 46
JO - Flow Measurement and Instrumentation
JF - Flow Measurement and Instrumentation
IS - 1
ER -