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Wavelet transform analysis of pressure fluctuaion signals in a pressurized bubble column

机译:加压鼓泡塔中压力波动信号的小波变换分析

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Several industrial bubble column reactors are operated at high pressures and it is important to understand its influence on the hydronamics and mass transfer . Pressure fluctuation signals in a pressurized bubble column are very complex since a bubble column behaves highly irregularly. The characteristics of the pressure fluctuations have been studied by several analytical methods. The recently developed technique of wavelet transform based on localized wavelet functions is applicable to the analysis of nonlinear or nonstationary pressure fluctuation signals: the time series of pressure fluctuation signals have been analyzed by means of discrete wavelet transform coefficients and umltiresolution decomposition. By resorting to this wavelet transform. a pressure signal in a presurized bubble column can be decomposed into its approximations and details at different resolutions.The energy of the details provides a measure of irregularity of the signal at various resolutions . And this wavelet transform enables us to obtain the frequency content of objects in a pressurized bubble column locally in time. In this work , the wavelet transform technique has been applied to the characterization of the fluctuating pressure signals generated ina pressurized bubble column, which are directly connected with the bubble phenomena in it
机译:一些工业鼓泡塔反应器在高压下运行,重要的是要了解其对流体力学和传质的影响。由于气泡塔的行为非常不规则,因此加压气泡塔中的压力波动信号非常复杂。已经通过几种分析方法研究了压力波动的特征。最近开发的基于局部小波函数的小波变换技术可用于分析非线性或非平稳压力波动信号:已通过离散小波变换系数和超分辨率分解对压力波动信号的时间序列进行了分析。通过求助于小波变换。预气泡柱中的压力信号可以分解为不同分辨率的近似值和细节。细节的能量提供了各种分辨率下信号不规则性的度量。而且,这种小波变换使我们能够及时地获得加压气泡柱中物体的频率含量。在这项工作中,小波变换技术已经应用于表征在加压气泡塔中产生的波动压力信号,该信号与其中的气泡现象直接相关。

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