Identification of two-phase flow regime using ultrasonic phased array

被引：35

作者：

Fang, Lide ^{[1
,2
]}

Zeng, Qiaoqiao ^{[1
,2
]}

Wang, Fan ^{[1
,2
]}

Faraj, Yousef ^{[3
,4
]}

Zhao, Yuyang ^{[5
]}

Lang, Yuexin ^{[1
]}

Wei, Zihui ^{[1
,2
]}

机构：

[1] Hebei Univ, Coll Qual & Tech Supervis, Baoding 071000, Hebei, Peoples R China

[2] Natl & Local Joint Engn Res Ctr Metrol Instrument, Baoding 071000, Hebei, Peoples R China

[3] Univ Chester, Sch Sci & Engn, Dept Chem Engn, Chester CH2 4NU, Cheshire, England

[4] Sichuan Univ, Sch Chem Engn, Chengdu 610065, Sichuan, Peoples R China

[5] Hebei Univ Sci & Technol, Sch Elect Engn, Shijiazhuang 07100, Hebei, Peoples R China

来源：

FLOW MEASUREMENT AND INSTRUMENTATION | 2020年 / 72卷

基金：

中国国家自然科学基金;

关键词：

Ultrasonic phased array; Image processing; Flow regime identification; PATTERN;

D O I：

10.1016/j.flowmeasinst.2020.101726

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Flow regime is one of the key characteristics of gas-liquid two-phase pipe-flows and its identification is essential for several industrial applications. In this paper, the ultrasonic phased array technology is used to identify flow regimes of two-phase (air-water) vertical flow. The ultrasonic phased array can perform multi-point, omnidirectional detection to obtain high-resolution data suitable for image processing. The scanned images, which have distinctive features, are subjected to a series of image-treatment techniques, such as principle component analysis, to extract information necessary for flow regime identification. The K-nearest neighbors (KNN) classification algorithm is then used to identify flow regimes with high accuracy.

引用

页数：9

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