A Novel Phase Difference Measurement Method for Coriolis Mass Flowmeter Based on Correlation Theory

Ting’ao Shen, Siyu Huang, Peng Chen, Liwei Chen and Yi Zhou
Additional contact information
Ting’ao Shen: Army Logistics Academy of PLA, Chongqing 401311, China
Siyu Huang: Army Logistics Academy of PLA, Chongqing 401311, China
Peng Chen: China Aerodynamics Research and Development Center, Mianyang 621000, China
Liwei Chen: Sichuan Taili Engineering Project Management Co., Ltd., Chengdu 610023, China
Yi Zhou: Army Logistics Academy of PLA, Chongqing 401311, China

Energies, 2022, vol. 15, issue 10, 1-11

Abstract: Aiming at the poor precision problem in phase difference measurements with unknown frequencies in engineering practice, a new phase difference measurement method is proposed for Coriolis mass flowmeter based on correlation theories. Firstly, the signal frequency was estimated by using an adaptive notch filter, which was applied to filter the waves and determined the integer period of the sampling signals, and the non-integer period sampling signals needed to be extended. Then, the Hilbert transformation was conducted relative to the extended signals, and the correlation functions of these extended signals with the transformed signals can be computed. Finally, the formula of phase difference can be obtained by utilizing the sinusoidal function. Compared to traditional methods, such as the correlation method, the Hilbert transformation method, and sliding Goertzel algorithm, the proposed method is suitable for both integer period and non-integer period sampling signals, and its accuracy, real-time, and dynamic performance is superior. Simulation and experiment results validate the superiority and effectiveness of the proposed method.

Keywords: Coriolis mass flowmeter; phase difference; correlation method; Hilbert transformation; adaptive notch filter (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/10/3710/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/10/3710/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:10:p:3710-:d:818765

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().