An improved phase difference detection method for a Coriolis flowmeter

To detect the phase difference of two vibration signals in a Coriolis flowmeter, the commonly used methods include the zero crossing phase detection method, the correlation function method and the Fourier transform method. However, these methods are subject to low accuracy, entire-cycle sampling and excessive calculation. To solve these problems, a Coriolis flowmeter experimental system was initially modeled, and then a phase difference detection method was built based on least squares and curve fitting. The results showed that this method could reduce the amount of calculation significantly without reducing the detection accuracy or adjusting the entire-cycle sampling. A simulation and a single-phase flow experiment indicated that this method was simple, practical and efficient, and it provided a new method for data processing with a Coriolis flowmeter.

Automated summary

This study addresses the low accuracy, entire-cycle sampling, and excessive calculation issues of commonly used methods for detecting the phase difference of two vibration signals in a Coriolis flowmeter. By modeling an experimental system and developing a new phase difference detection method, it significantly reduces the amount of calculation without compromising detection accuracy or requiring adjustments to entire-cycle sampling. Experimental results demonstrate that this method is simple, practical, and efficient, providing a new approach for data processing with a Coriolis flowmeter.