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On discriminating sizes of CFD generated bubbles with signal processing analysis

机译：用信号处理分析判别CFD生成气泡的大小

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The aim of this research work is to propose a signal processing based technique to classify and estimate bubble sizes. Bubbles are generated by computational fluid dynamics simulations. Local measuring points for velocity and pressure are set, and the captured data are analyzed using signal processing. The signal analysis includes the generation of templates for signal measurements of different bubble sizes using the short-time Fourier transform. Euclidean distances between templates of the different bubble size classes are subsequently computed. An inter/intra-class distance based matrix methodology is proposed to assess the discriminability of the Fourier-based template representation. The results indicate that the proposed technique based on signal processing can lead to the discrimination of bubble sizes with the information of bubbles passing through a single sensor point. Moreover, the model presented in this paper suggests that the analysis window size may play a highly important role in the discriminability according to the range of target bubble sizes.
机译：这项研究工作的目的是提出一种基于信号处理的技术来分类和估计气泡大小。气泡是通过计算流体动力学模拟生成的。设置速度和压力的本地测量点，并使用信号处理分析捕获的数据。信号分析包括使用短时傅立叶变换生成用于不同气泡大小的信号测量的模板。随后计算不同气泡尺寸类别的模板之间的欧几里得距离。提出了一种基于类间/类内距离的矩阵方法，以评估基于傅里叶的模板表示的可分辨性。结果表明，所提出的基于信号处理的技术可以通过气泡信息通过单个传感器点来区分气泡大小。此外，本文提出的模型表明，根据目标气泡大小的范围，分析窗口的大小可能在判别能力中起着非常重要的作用。

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