标题:Identification of gas-liquid two-phase flow patterns using non-return valve sound signals
作者:Zhang, Mingkui ;Wang, Lei
通讯作者:Wang, Lei
作者机构:[Zhang, Mingkui ] School of Control Science and Engineering, Shandong University, Jinan P.R.; 250061, China;[Wang, Lei ] School of Electric and Electr 更多
会议名称:2017 Chinese Automation Congress, CAC 2017
会议日期:20 October 2017 through 22 October 2017
来源:Proceedings - 2017 Chinese Automation Congress, CAC 2017
出版年:2017
卷:2017-January
页码:771-776
DOI:10.1109/CAC.2017.8242870
关键词:flow pattern identification; flow-pattern map; gas-liquid flow; non-return valve; two-phase flow
摘要:Because of the complexity of crude oil flow, identification of gas-liquid two-phase flow pattern has not been completely solved nowadays. This paper proposed a new classification method of gas-liquid two-phase flow patterns using the sound signals produced by the ball impacting on the valve wall with fluid movement in a non-return valve. A visual detection system of gas-liquid two-phase flow was built to study four typical flow patterns including liquid flow, gas flow, slug flow and churn flow pattern. The sound signals from non-return valve under different conditions were captured and processed with Empirical Mode Decomposition (EMD) and Hilbert-Huang Transform (HHT). Flow-pattern maps were constructed with the coordinates of the energy of Intrinsic Mode Functions (IMF) and Hilbert marginal spectrum. Verification tests demonstrated that the correct identification rates are better than 98.1% with the developed flow pattern maps based on sound signal analysis of non-return valve. © 2017 IEEE.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050341933&doi=10.1109%2fCAC.2017.8242870&partnerID=40&md5=b8f00855a83a8cfff4a6993af4594e11
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