小波变换在含水率信号去噪中的应用

Application of Wavelet Transform in Water-cut Denoise Processing

以电极系含水率信号实时监测为研究重点,通过研究国内外信号处理的现状,分析含水率信号的产生机理、特征和影响因素,对比了各种滤波器的性能,最终选择了小波变化作为含水率信号滤波器,并设计了主要性能参数。文中介绍了小波分析理论及其在含水率信号去噪中的应用,采用LabVIEW虚拟平台验证小波变换的优越性,并在室内试验证明了小波变换去噪效果明显,能够很大程度的减小测量误差,使得含水率数据更加精确。

This paper focuses on the research of water-cut signal real-time detection. By studying the status quo of signal processing in domestic and foreign, and analyzing generation mechanism, characteristics and influencing factors of water-cut signals, ultimately choose wavelet transform as filter of water-cut signal after comparing a variety of properties of filters. The main performance parameter is also designed. After series of preparatory work, determine that the design proposal of water-cut denoising is based on wavelet transform. In this paper, it will be introduced that the theory of wavelet analysis and application of wavelet transform in water-cut denoise processing, used LabVIEW virtual platform tested verify the superiority of wavelet transform, and it shows that the wavelet transform denoising effect is more obvious in the laboratory test, wavelet transform can greatly reduce measurement error, making the water-cut data more accurate.