Characterization of gas-liquid two-phase flow pattern based on complexity measures analysis

The dynamics mechanism of gas-liquid two-phase flow is very complicated because of strong phase interface interaction and local relative motion. So the flow pattern identification is still an unsolved problem in some industrial process. Based on the concept of complexity measures including Lempel-Ziv complexity, spectral entropy and approximate entropy, we extracted the complexity measures from sixty-three groups conductance fluctuating signals of gas-liquid two-phase flow in vertical upward pipes. The results indicate that the three complexity measures are sensitive to the flow patterns transition in gas-liquid two-phase flow. It is shown that the complexity measures are effective diagnostic tools to reveal the dynamics characteristic of gas-liquid two-phase flow.