Online recognition of the multiphase flow regime

被引：84

作者：

Bai BoFeng ^{[1
]}

Zhang ShaoJun ^{[1
]}

Zhao Liang ^{[1
]}

Zhang Ximin ^{[1
]}

Guo LieJin ^{[1
]}

机构：

[1] Xi An Jiao Tong Univ, State Key Lab Multiphase Flow Power Engn, Xian 710049, Peoples R China

来源：

SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES | 2008年 / 51卷 / 08期

基金：

中国国家自然科学基金;

关键词：

multiphase flow; flow regime; online recognition; multi-sensor data fusion;

D O I：

10.1007/s11431-008-0160-3

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The key reasons that the present method cannot be used to solve the industrial multiphase flow pattern recognition are clarified firstly. The prerequisite to realize the online recognition is proposed and recognition rules for partial flow pattern are obtained based on the massive experimental data. The standard templates for every flow regime feature are calculated with self-organization cluster algorithm. The multi-sensor data fusion method is proposed to realize the online recognition of multiphase flow regime with the pressure and differential pressure signals, which overcomes the severe influence of fluid flow velocity and the oil fraction on the recognition. The online recognition method is tested in the practice, which has less than 10 percent measurement error. The method takes advantages of high confidence, good fault tolerance and less requirement of single sensor performance.

引用

页码：1186 / 1194

页数：9

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