Article ID Journal Published Year Pages File Type
10727889 Physics Letters A 2013 6 Pages PDF
Abstract
► We infer recurrence networks from experimental bubbly oil-in-water flow signals. ► We extract local topological statistic to characterize the dynamic flow behavior. ► Our method allows uncovering the chaotic dynamics underlying oil-in-water flows.
Keywords
Related Topics
Physical Sciences and Engineering Physics and Astronomy Physics and Astronomy (General)
Preview
Recurrence network analysis of experimental signals from bubbly oil-in-water flows
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