Quantitative Analysis of Two-Phase Flow Time Series Based on Optimal Orbit Reconstruction and Point Correlation Dimension

The nonlinear time series analysis of two-phase flow is difficult, and the analysis sometimes results subjectively. Using artificially generated quasiperiodic data and submerged nozzle pressure fluctuation, we showed that applying an optimal delay time reconstruction method and a point correlation d...

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Published inNihon Kikai Gakkai rombunshuu. B hen Vol. 72; no. 715; pp. 590 - 597
Main Authors SUZUKI, Akio, MISAWA, Masaki, MINATO, Akihiko
Format Journal Article
LanguageJapanese
Published The Japan Society of Mechanical Engineers 2006
Subjects
Chaos
Correlation Dimension
Nonlinear Time Series Analysis
Point Correlation Dimension
Two-Phase Flow
Void Fraction
Wire-Mesh Sensor
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Summary:The nonlinear time series analysis of two-phase flow is difficult, and the analysis sometimes results subjectively. Using artificially generated quasiperiodic data and submerged nozzle pressure fluctuation, we showed that applying an optimal delay time reconstruction method and a point correlation dimension method together greatly improved the reliability of the analysis. In this paper, we analyze real two-phase flows time series : differential pressure and void fraction of slug and bubbly flow in a vertical pipe. The comparisons of estimated results and their statistical test results demonstrate the high reliability of the proposed analysis method.
ISSN:0387-5016
1884-8346
DOI:10.1299/kikaib.72.590