By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Niu Penghhui ; Dept. of Inf. Eng., Logistical Eng. Univ., Chongqing ; Tu Yaqing

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

Published in:

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

Date of Conference:

24-27 April 2006