基于独立成分分析和小波变换处理两相流信号

Processing signals of two-phase flow based on independent component analysis (ICA) and wavelet transformation

为克服噪声信号给速度测量带来的影响,提供了一种基于独立成分分析(ICA)和小波变换处理两相流信号的方法。首先介绍独立成分分析(ICA)的基本原理及其实现方法,并利用此方法对两相流信号进行处理;根据傅立叶变换确定信号的频谱;然后介绍小波变换和空间滤波的基本原理,并利用小波变换确定信号的带宽;并根据带宽求出固体速度。最后给出仿真实验结果。结果表明:这种方法可以满足固体速度测量的需要。

To overcome the noise effect on the velocity measurement, the essential method for processing two-phase flow signals is described based on independent component analysis （ICA） and wavelet transformation in this paper, Firstly the principle of independent component analysis （ICA） is presented and two-phase flow signals are processed with this method, Secondly the capacitance sensors frequency spectrum is gained by using Fourier transformation. Thirdly, the basic principles of wavelet transformation and spatial filter are introduced, The capacitance sensors width of pass-band is gained by wavelet transformation. Then solid velocity is obtained on the basis of width of pass-band. Finally simulation experiment results are given. The experimental results show that the method can satisfy the need of solid velocity measurement.