Time Irreversibility from Time Series for Analyzing Oil-in-Water Flow Transition
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We first experimentally collect conductance fluctuation signals of oil-in-water two-phase flow in a vertical pipe. Then we detect the flow pattern asymmetry character from the collected signals with multidimensional time irreversibility and multiscale time irreversibility index. Moreover, we propose a novel criterion, that is, AMSI (average of multiscale time irreversibility), to quantitatively investigate the oil-in-water two-phase flow pattern dynamics. The results show that AMSI is sensitive to the flow pattern evolution that can be used to predict the flow pattern transition and bubble coalescence.
2019 ◽
Vol 74
(10)
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pp. 837-848
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2000 ◽
Vol 26
(3)
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pp. 367-386
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2010 ◽
Vol 132
(4)
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