Study on the match-filtering ability of the electromagnetic flowmeter signals based on the generalized dual-frequency walsh transform

IF 2.3 3区工程技术 Q2 ENGINEERING, MECHANICAL

Flow Measurement and Instrumentation Pub Date : 2024-11-28 DOI:10.1016/j.flowmeasinst.2024.102767

Bin Li, Xue-qing Hou, Jie Chen, Sheng-Nan Zhang

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引用次数: 0

Abstract

This paper first considered the development of a generalized dual-frequency Walsh transform algorithm specifically for processing dual-frequency EMF signals, taking into account the measurement accuracy requirements in high-precision situations and the limited filtering performance of traditional methods. First, we build a mathematical model of the dual-frequency slurry EMF signal, which is essentially a superposition of interferences and an ideal EMF signal. Second, the match-filtering applicability of the generalized dual-frequency Walsh transform algorithm is verified by exploring the sequency-spectrum distributed features of the mathematical model. Finally, a series of theoretical measurement experiments was carried out, employing the signal-to-noise ratio (SNR) as the qualitative metric to assess the measurement performance of the proposed method. This research not only breaks the limitations of traditional excitation techniques on excitation frequency but also provides new research ideas for signal processing similar to periodic rectangular waves.

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基于广义双频walsh变换的电磁流量计信号匹配滤波能力研究

本文首先考虑发展一种专门用于处理双频EMF信号的广义双频Walsh变换算法，考虑到高精度情况下的测量精度要求和传统方法滤波性能的局限性。首先，我们建立了双频浆液电动势信号的数学模型，该信号本质上是干扰和理想电动势信号的叠加。其次，通过探索数学模型的序列谱分布特征，验证广义双频Walsh变换算法的匹配滤波适用性。最后，进行了一系列理论测量实验，并以信噪比（SNR）作为定性指标来评估所提方法的测量性能。本研究不仅打破了传统激励技术对激励频率的限制，而且为类似周期矩形波的信号处理提供了新的研究思路。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.