A vortex signal processing method based on wavelet neural network

被引：0
|
作者：
Zheng, Liying [1 ]
Tian, Kai [1 ]
机构：
[1] Harbin Engn Univ, Sch Comp Sci & Technol, Harbin 150001, Heilongjiang, Peoples R China
来源：
FIRST INTERNATIONAL MULTI-SYMPOSIUMS ON COMPUTER AND COMPUTATIONAL SCIENCES (IMSCCS 2006), PROCEEDINGS, VOL 1 | 2006年
关键词：
D O I：
10.1109/IMSCCS.2006.27
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：288 / +
页数：2
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