A Method for Signal Processing of Coriolis Mass Flowmeter Based on Combining AR Model Spectrum Estimation with DFT

Author

Penghhui, Niu ; Yaqing, Tu

Author_Institution

Dept. of Inf. Eng., Logistical Eng. Univ., Chongqing

fYear

2006

fDate

24-27 April 2006

Firstpage

1417

Lastpage

1420

Abstract

A method of combining auto-regressive (AR) model spectrum estimation with discrete Fourier transform (DFT), is presented to analyze and process the output signals of Coriolis mass flowmeter in this paper. This method accurately measures the frequency of signals containing noise through AR spectrum estimation, and then revises sampling frequency according to this frequency. Based on frequency spectrum correction theory, this method measures phase of the frequency point to obtain phase difference and mass flowrate. Simulation results have proved the effectiveness of the method given

Keywords

autoregressive processes; discrete Fourier transforms; flow measurement; signal sampling; AR model spectrum estimation; AR spectrum estimation; Coriolis mass flowmeter; DFT; auto-regressive model spectrum estimation; discrete Fourier transform; frequency spectrum correction theory; mass flowrate; phase difference; sampling frequency; signal processing; Digital signal processing chips; Equations; Filters; Frequency estimation; Frequency measurement; Noise measurement; Phase measurement; Signal processing; Signal sampling; Spectral analysis; AR model spectrum estimation; Coriolis mass flowmeter; phase difference;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE

Conference_Location

Sorrento

ISSN

1091-5281

Print_ISBN

0-7803-9359-7

Electronic_ISBN

1091-5281

Type

conf

DOI

10.1109/IMTC.2006.328599

Filename

4124577