高校化学工程学报2011，Vol.25Issue(5)：759-764,6.
经验模态分解和小波分析在小通道气液两相流流型辨识中的应用
Application of Empirical Mode Decomposition and Wavelet Analysis to Small Channel Gas-Liquid Two-Phase Flow Pattern Identification
摘要
Abstract
Based on the capacitance signal of gas-liquid two-phase flow acquired from two-electrode capacitive sensor, Empirical Mode Decomposition (EMD) and wavelet decomposition were used, respectively, to decompose the signal into various characteristic scales. For each component, the energy features were extracted as the inputs of Least Squares Support Vector Machine (LS-SVM) classifier. After training, the classifier was applied to the flow pattern identification of gas-liquid two-phase flow in small channel. Experimental results indicate that the EMD method doesn't need to deal with the difficulties of choosing wavelet basis and decomposition scales, but it is time consuming. On the contrary, the wavelet decomposition has high speed of decomposition. However, it's usually difficult to determine the reasonable wavelet basis and decomposition scales. The EMD and the wavelet decomposition are effective for the flow pattern identification of two-phase flow in small channel, and the accuracy rates of both methods are above 90% in flow pattern identification.关键词
EMD/小波/小通道/气液两相流/流型辨识Key words
EMD/ wavelet/ small channel/ gas-liquid two-phase flow/ flow pattern identification分类
化学化工引用本文复制引用
龙军,冀海峰,王保良,黄志尧,李海青..经验模态分解和小波分析在小通道气液两相流流型辨识中的应用[J].高校化学工程学报,2011,25(5):759-764,6.基金项目
国家自然科学基金项目(61074173) （61074173）
中央高校基本科研业务费专项资金资助. （）
