计量学报2026，Vol.47Issue(2)：183-191,9.DOI:10.3969/j.issn.1000-1158.2026.02.04
基于多元多尺度模糊熵的气液两相流流型辨识
Identification of Gas-liquid Two-phase Flow Pattern Based on Multivariate Multi-scale Fuzzy Entropy
摘要
Abstract
A method for analyzing the flow characteristics of gas-liquid two-phase flow based on multivariate multi-scale fuzzy entropy(mvMFE)is proposed.The electrical resistance tomography array sensor is used to collect the flow pattern information of the gas-liquid two-phase flow in the vertical ascending pipeline,and the dimensionality reduction processing of the measurement data is carried out by principal component analysis.Then,multivariate multi-scale fuzzy entropy is used to measure the complexity of multivariate time series with different flow patterns,and compared with multivariate multi-scale permutation entropy(mvMPE),multivariate multi-scale dispersion entropy(mvMDE)and multi-scale fuzzy entropy(MFE)of unary time series.Further calculation of the average value and growth rate of the first ten scales of mvMFE show that the mvMFE corresponding to the same flow pattern has the greatest difference,and the mvMFE of different flow patterns is more significant,and mvMFE can better reveal the flow behavior of gas-liquid two-phase flow.关键词
多相流测量/气液两相流/流型辨识/多元多尺度模糊熵/电阻阵列传感器Key words
multiphase flow measurement/gas-liquid two-phase flow/flow pattern identification/multivariate multi-scale fuzzy entropy/resistance array sensor分类
通用工业技术引用本文复制引用
张立峰,李国智,刘昱甫,刘均芝,王咏梅..基于多元多尺度模糊熵的气液两相流流型辨识[J].计量学报,2026,47(2):183-191,9.基金项目
国家自然科学基金(61973115) （61973115）
