Characteristic parameters measurement based on flow noise decoupling in horizontal slug flow
Slug flow is a typical two-phase flow pattern of gas-liquid intermittent flow.The measurement of gas slug characteristic parameters is of great significance for the measurement of abrasion pressure drop in slug flow,sectional void fraction,and other flow parameters.In this paper,a gas slug parameter measurement sensor based on the acoustic emission principle was designed,and the noise signals of horizontal pipe slug flow under different flow conditions were measured.Whale optimization algorithm(WOA)was employed to optimize the variational modal decomposition(VMD)for noise signal processing.By analyzing the original signal from the perspectives of energy and entropy,the decoupling of noise signals from the horizontal pipe slug flow was achieved.The noise signals were divided into high-frequency gas-solid noise,medium-frequency gas-liquid noise,and low-frequency liquid-solid noise.The measurement of gas slug frequency and slug length was realized by analyzing the time-domain signals of acoustic emission.The CatBoost algorithm was used to select 8 feature values to construct predictive models for slug flow slug frequency and slug length.The mean absolute percentage error(MAPE)of the slug frequency prediction model was 5.12％,and the relative deviations of 95.25％ of experimental points were within the range of±15％.The mean absolute percentage error(MAPE)of the slug length prediction model was 7.77％,and the relative deviations of 90.48％of experimental points were within the range of±15％.
国家科技期刊平台
NSTL
万方数据
