期刊
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
卷 70, 期 -, 页码 -出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIM.2021.3126366
关键词
Electron tubes; Vibrations; Vibration measurement; Fluid flow measurement; Mathematical models; Measurement uncertainty; Temperature measurement; Coriolis mass flowmeter (CMF); flow measurement; phase difference calculation; pulsating flow; U-shaped measuring tube
资金
- National Natural Science Foundation of China [51775543, U1610111]
- Sichuan Science and Technology Program [2019YFG0195]
- Scientific Research Starting Project of (SWPU) [2018QHZ016]
- Young Scholars Development Fund of SWPU [201799010002]
- Science and Technology Cooperation Project of the CNPC-SWPU Innovation Alliance [2020CX040000]
This article introduces a method to improve the accuracy of U-tube CMF under pulsating flow, based on variable step-size LMS filter and Hilbert transform. Experimental results show that the stability and accuracy of the proposed algorithm are better than that of the traditional CMF phase difference calibration method.
Coriolis mass flowmeter (CMF) is a kind of flow measurement instrument, which can directly measure the high-precision transient mass flow parameters. Also, the vibration characteristic of the U-shaped measuring tube inside is one of the important factors that determine the measuring accuracy. The pulsating flow through the measuring tube will lead to the motion component except for the main vibration frequency, which will affect the phase difference calculation and reduce the measurement accuracy of the mass flowmeter. This article presents a method to improve the accuracy of U-tube CMF based on variable step-size least-mean-square (LMS) filter and Hilbert transform with interval shifting under pulsating flow. Experimental work was conducted on a dynamic experimental platform of pulsating flow. Experimental results show that the stability and accuracy of the proposed algorithm are better than that of the traditional CMF phase difference calibration method. The mean time difference error is 9.0525 mu s, and the mean time difference relative error is 5.806%. The calibration effect is more than 88.0934% better than other traditional algorithms. It is verified that it has a good error calibration effect for pulsating flow at various frequencies.
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