Journal of System Simulation
Abstract
Abstract: Aiming at the problems that the two-phase flow regime recognition speed is slow and the recognition accuracy is low, a flow regime recognition method is proposed based on cross recursive analysis (CRA) without imaging. The false nearest neighbors are used to analyze flow regime capacitance values measured by capacitance sensor to obtain an optimal embedding dimension; and the embedding dimension of cross recursive plot is established for several typical flow patterns. The capacitance values of the simulation flow regimes and the reference flow regimes are analyzed using cross recursion to get a set of cross recursive plots. The similarity of two flow regimes is determined by comparing the ratio of black recursive dots on the main diagonal of cross recursive plot. The simulation experiments of typical oil-gas two-phase flow regime identification are conducted. The simulation result shows that the method can accurately identify different flow regimes of two-phase flow; and the recognition rate is fast.
Recommended Citation
He, Yongbo; Dong, Yushan; and Xue, Rongrong
(2019)
"Recognition Method on Two-phase Flow Regime Based on Cross Recursive Analysis,"
Journal of System Simulation: Vol. 31:
Iss.
4, Article 15.
DOI: 10.16182/j.issn1004731x.joss.17-0145
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol31/iss4/15
First Page
720
Revised Date
2017-08-04
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.17-0145
Last Page
726
CLC
TP391.9
Recommended Citation
He Yongbo, Dong Yushan, Xue Rongrong. Recognition Method on Two-phase Flow Regime Based on Cross Recursive Analysis[J]. Journal of System Simulation, 2019, 31(4): 720-726.
DOI
10.16182/j.issn1004731x.joss.17-0145
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons