A filtering method for high-temperature and high-pressure conductivity probe signals based on VMD and wavelet thresholding

IF 2.3 3区工程技术 Q2 ENGINEERING, MECHANICAL Flow Measurement and Instrumentation Pub Date : 2025-02-12 DOI:10.1016/j.flowmeasinst.2025.102845

Chao Tang , Wenxiong Zhou , Xubing Tan , Gangyang Liu , Kang Li , Hao Liu , Zhenming Zhao , Liangming Pan , Zaiyong Ma

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引用次数: 0

Abstract

The conductivity probe is currently one of the most comprehensive and widely used measurement methods of two-phase flow parameters. However, the conductivity probe signal will have a low signal-to-noise ratio (SNR) under high-temperature and high-pressure conditions, leading to an increase in error in bubble recognition and further affecting the parameter calculation results. This study proposes a conductivity probe signal processing algorithm based on Variational Modal Decomposition (VMD) and wavelet threshold denoising. Simulation experiments show that the proposed method performs better than other signal decomposition methods. Finally, according to the processing of the conductivity probe signal of the high-temperature and high-pressure narrow rectangular channel, the results show that the void fraction processed by the algorithm closely matches with the images taken by the high-speed camera, which verifies the effectiveness of this algorithm.

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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.