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Study and Implementation of Signal Processing Method for Coriolis Mass Flowmeter Based on Hilbert Transform |
ZHANG Jian-guo,XU Ke-jun,DONG Shuai,LIU Zheng,HOU Qi-li |
School of Electrical and Automation Engineering, Hefei University of Technology, Hefei, Anhui 230009, China |
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Abstract A set of digital signal processing algorithm is designed, which is composed of adaptive lattice filter and Hilbert transform algorithm according to the signal features of Coriolis mass flow sensors. The end effect of Hilbert transform is effectively suppressed by adding window function, and the measurement accuracy is improved. The whole algorithm is implemented in real time on a Coriolis mass flowmeter transmitter developed with TMS320F28335 chip. System tests and water flow calibrations are performed. The maximum relative error is smaller than ±0.1% with the range-ratio up to 10∶1. Experiments results show that the whole algorithm is feasible and effective.
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Received: 10 October 2015
Published: 19 April 2017
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Corresponding Authors:
Ke-Jun Xu
E-mail: dsplab@hfut.edu.cn
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