基于多级融合特征的油水两相流模式识别

IF 2.7 3区工程技术 Q2 ENGINEERING, MECHANICAL

Flow Measurement and Instrumentation Pub Date : 2025-09-26 DOI:10.1016/j.flowmeasinst.2025.103077

Han Lian-fu , Zhang Yin-Hao , Li Na-na , Niu Zhi-Bo , Wang Hai-xia , Gu Jian-fei , Liu Xing-bin , Fu Chang-feng

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引用次数: 0

摘要

油水两相流的流型非常复杂，很难识别。为了准确识别油水两相流的流型，本文提出了一种流型识别方法。本文提出了一种基于多级融合特征的流态识别方法，建立了油水两相流态识别模型，构建了流态采集系统，构建了流态数据库，并进行了水平流态和垂直流态的识别实验。实验结果表明，所提出的流型识别方法对水平流型和垂直流型的识别率分别达到99.1%和98.6%。

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Pattern recognition of oil-water two-phase flow based on multilevel fusion features

The oil-water two-phase flow pattern is so complex that it is very difficult to recognize. To accurately identify the flow pattern of oil-water two-phase flow, this paper proposes a flow pattern identification method. This paper proposes a multilevel fusion features-based flow pattern recognition method, establishes an oil-water two-phase flow pattern recognition model, builds a flow pattern acquisition system, constructs a flow pattern database, and carries out recognition experiments using horizontal flow patterns and vertical flow patterns. The experimental results demonstrate that the proposed flow pattern recognition method achieves recognition rates of 99.1 % and 98.6 % for horizontal and vertical flow patterns, respectively.

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来源期刊

Flow Measurement and Instrumentation 工程技术-工程：机械

CiteScore

4.30

自引率

13.60%

发文量

123

审稿时长

6 months

期刊介绍： Flow Measurement and Instrumentation is dedicated to disseminating the latest research results on all aspects of flow measurement, in both closed conduits and open channels. The design of flow measurement systems involves a wide variety of multidisciplinary activities including modelling the flow sensor, the fluid flow and the sensor/fluid interactions through the use of computation techniques; the development of advanced transducer systems and their associated signal processing and the laboratory and field assessment of the overall system under ideal and disturbed conditions. FMI is the essential forum for critical information exchange, and contributions are particularly encouraged in the following areas of interest: Modelling: the application of mathematical and computational modelling to the interaction of fluid dynamics with flowmeters, including flowmeter behaviour, improved flowmeter design and installation problems. Application of CAD/CAE techniques to flowmeter modelling are eligible. Design and development: the detailed design of the flowmeter head and/or signal processing aspects of novel flowmeters. Emphasis is given to papers identifying new sensor configurations, multisensor flow measurement systems, non-intrusive flow metering techniques and the application of microelectronic techniques in smart or intelligent systems. Calibration techniques: including descriptions of new or existing calibration facilities and techniques, calibration data from different flowmeter types, and calibration intercomparison data from different laboratories. Installation effect data: dealing with the effects of non-ideal flow conditions on flowmeters. Papers combining a theoretical understanding of flowmeter behaviour with experimental work are particularly welcome.