基于小波分析的气液两相流流型模糊辨识

Application of Wavelets Transform to the Fuzzy Identification of Gas-Liquid Two-Phase Flow Regimes

本文提出了一种基于小波分析进行气液两相流流型模糊辨识的新方法。通过对测试管段的管程压降△P的波动信号的基于Haar基的小波变换结果的分析，根据不同流型能量分布的定量指标确定了流型模糊判别规则。对水平管和5°、15°、25°倾斜上升管的实验结果表明，这种判别方法能较有效地实现气液两相流的气泡流、层状流、波状流、塞状流、弹状流和环状流等典型流型的在线辨识。

A novel method for the on-line identification of flow regimes of gas-liquid two-phase flowsystem based on the wavelets transform is presented. The pipeline pressure drop are adopted for signalprocessing and the Haar wavelet is selected as the mother wavelet. Based on the wavelet coefficients,different time-frequency characteristics in six flow regimes are analyzed, and a criterion of identifyingthe flow regimes is proposed based on the fuzzy set theory. The experiments are carried out inhorizontal pipe and 5°, 15°, 25° incline up-stream pipe. The experimental results show that it isfeasible for the flow regimes identification of bubbly, stratified, wavy, plug, slug and annular flow ingas-liquid two-phase flow system.