This study proposes a measuring method for the individual phase flow rates of gas-liquid two-phase mixtures flowing through a pipe. First, the time-variations for pressure are measured at three points around a vortex generator mounted in the pipe under the known flow rates. Secondly, the stochastic features of the differential pressure fluctuations, such as the mean and the standard deviation, are calculated to construct a database relating the flow rates with the stochastic features. Consequently, if the differential pressure fluctuations are measured under unknown flow rates, the individual phase flow rates are successfully identified from the database. A neural network is employed for the identification. This study also applies the proposed method for the measurement of air-water two-phase flow and discusses the measured results.

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