A Vortex Signal Processing Method Based on Wavelet Neural Network

Abstract

A vortex flowmeter has many advantages, such as high precision, good reliability, and proportionality of frequency of vortex signal with the liquid volume. However it is subjected to noise disturbances caused by pipe vibrations and fluid turbulence. The processing circuits with the vortex flowmeter are unable to ensure the measuring accuracy in industrials. This paper presents a vortex signal processing method based on wavelet neural network. The simulation results show that, the method can significantly de-noise