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This paper investigates a new method for gas/liquid two-phase flow recognition by combining the features of Shannon's entropy and the recurrent neural networks. The information of the method that provided by cross-sectional measured resistance Information (CSMRI) is the measured data in horizontal pipe. The feature vector of Shannon's entropy that can express the essential information of gas/liquid...
The gamma ray scattering energy spectrum detected by one detector was presented to distinguish the gas liquid two-phase flow regime of vertical pipe. The simulation geometries of the gamma ray scattering measurement were built using Monte Carlo software Geant4. Computer simulations were carried out with homogeneous flow, annular flow and slug flow. The results show that the scattering energy characters...
Based on the characteristic that the Empirical Mode Decomposition (EMD) can decompose signal adaptively, a flow pattern identification method based on EMD multi-scale information entropy was put forward. Firstly, the acquired pressure-difference fluctuation signals are decomposed through EMD, and the decomposed signals within different frequency bands are obtained adaptively. Secondly, the multi-scale...
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