Abstract
Gas–liquid two-phase flows are frequently encountered in industrial processes, such as chemical and nuclear engineering. Understanding the transition mechanism from slug to churn flow is essential to avoid flooding of separators, system vibration and production line damage. In this study, we designed a direct-image multi-electrode conductance sensor to detect spatial structures of gas–liquid two-phase flows. The collected multivariate signals from gas–liquid flow system are analyzed using multivariate weighted multiscale permutation entropy (MWMPE) and cross recurrence plot (CRP). The derived cross recurrence rate (CRR) exhibits advantages in indicating the flow structure evolution. Comparatively, MWMPE is more sensitive to anomalous changes of the flow structures and can be employed to indicate the flow pattern transition from slug to churn flow.
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