The use of edge detection of wavelets for signal singularity detection in a gas-liquid two-phase flow

Currently, function (signal) singularity detection method is mainly realized through the use of wavelet transformation. As the dissociation of wavelets is characterized by a fairly good localized feature of space and frequency domain, the wavelet transformation can delineate the variation law of signals and perform the detection and analysis of various singular properties of singular points in signals. It is also possible to analyze a gas-liquid two-phase flow condition through an edge detection of wavelet transformation and detect thermodynamic data in a gas-liquid two-phase flow. The edge detection of pressure curves of a gas-liquid two-phase uniform-phase flow model shows that the edge detection of wavelets can be fully utilized to perform the edge detection of the gas-liquid two-phase flow conditions.