To find effective and practical methods to distinguish gas-liquid
two-phase flow patterns, new flow pattern maps are established using the
differential pressure through a classical Venturi tube. The differential
pressure signal was first decomposed adaptively into a series of *intrinsic
mode functions* (IMFs) by the ensemble empirical mode decomposition.
Hilbert marginal spectra of the IMFs showed that the flow patterns are
related to the amplitude of the pressure fluctuation. The
cross-correlation method was employed to sift the characteristic IMF,
and then the energy ratio of the characteristic IMF to the raw signal
was proposed to construct flow pattern maps with the volumetric void
fraction and with the two-phase Reynolds number, respectively. The
identification rates of these two maps are verified to be 91.18% and
92.65%. This approach provides a cost-effective solution to the
difficult problem of identifying gas-liquid flow patterns in the
industrial field.