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Uncovering transitional behavior of slug flow under different flow conditions constitutes a challenging problem of significant importance. Based on the experimental multi-channel measurements, we first calculate multivariate pseudo Wigner distribution (MPWD) and extract time–frequency features to probe the transient behavior of slug flow and churn flow. Then we calculate the multivariate multiscale...
We propose a complex network-based method to distinguish complex patterns arising from experimental horizontal oil–water two-phase flow. We first use the adaptive optimal kernel time–frequency representation (AOK TFR) to characterize flow pattern behaviors from the energy and frequency point of view. Then, we infer two-phase flow complex networks from experimental measurements and detect the community...
Characterizing flow behavior underlying horizontal oil–water flows from experimental measurements is a challenging problem in the fields of time series analysis and fluid mechanics. We systematically conduct a horizontal oil–water two-phase flow experiment and use our designed distributed conductance sensor to measure multivariate signals from five different flow patterns. Taking two coupled Lorenz...
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