Title :
A Vortex Signal Processing Method Based on Wavelet Neural Network
Author :
Zheng, Liying ; Tian, Kai
Author_Institution :
Sch. of Comput. Sci. & Technol., Harbin Eng. Univ.
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
Keywords :
flowmeters; neural nets; pipe flow; signal denoising; turbulence; vortices; wavelet transforms; fluid turbulence; liquid volume; pipe vibration; signal denoising; vortex flowmeter; vortex signal processing method; wavelet neural network; Artificial neural networks; Circuit noise; Computer science; Frequency; Low-frequency noise; Neural networks; Neurons; Signal processing; Signal processing algorithms; Wavelet analysis;
Conference_Titel :
Computer and Computational Sciences, 2006. IMSCCS '06. First International Multi-Symposiums on
Conference_Location :
Hanzhou, Zhejiang
Print_ISBN :
0-7695-2581-4
DOI :
10.1109/IMSCCS.2006.27
