基于小波神经网络的涡旋信号处理方法

First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06) Pub Date : 2006-06-20 DOI:10.1109/IMSCCS.2006.27

Liying Zheng, Kai Tian

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引用次数: 0

摘要

旋涡流量计具有精度高、可靠性好、旋涡信号频率与液体体积成正比等优点。然而，它受到由管道振动和流体湍流引起的噪声干扰。在工业中，旋涡流量计的处理电路不能保证测量精度。提出了一种基于小波神经网络的涡流信号处理方法。仿真结果表明，该方法具有较好的去噪效果

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A Vortex Signal Processing Method Based on Wavelet Neural Network

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

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First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)

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