The order recurrence quantification analysis of the characteristics of two-phase flow pattern based on multi-scale decomposition

Abstract

Based on the conductance fluctuating signals of the gas–liquid two-phase flow measured in a vertical upward pipe, the multi-scale order recurrence quantification analysis method is used to research the dynamic characteristics of the gas–liquid two-phase typical flow patterns. We obtain each scale signal of the conductance fluctuating signals of the gas–liquid two-phase flow by ensemble empirical mode multi-scale decomposition, and then draw the order recurrence plot (ORP) of each scale signal. In order to test the effect of the ORP, we conduct quantitative analysis of the ORP through the averaged diagonal length. The results show that the ORP method can characterize the dynamic characteristics of the two-phase flow pattern. Compared with the recurrence plot (RP), the ORP clearly shows the entire texture of blocks, and it is more intuitive and effective than the linear texture of the RP visually. It is shown that multi-scale order recurrence analysis is an efficient method for understanding the characteristics of the gas–liquid two-phase flow patterns.