Visibility graph analysis of fluid flow signals

Z. Gao, Lingchao Ji
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引用次数: 2

Abstract

Visibility graphs have established themselves in recent years as being particularly suitable and flexible for analyzing signals measured from complex natural and artificial systems. Oil-water two-phase flow as a complicated fluid flow is one of the most complex systems. In this paper, we employ visibility graph to analyze the signals measured from experiment two-phase flow. We first introduce the inclined oil-water two-phase flow experiment and data acquisition. Then we present the algorithm for constructing visibility graphs from signals. Finally, we infer and analyze visibility graphs from signals measured under different fluid flow conditions. The results indicate that the combination parameters of network degree are sensitive to the transition among different flow patterns, which can be used to distinguish and characterize different oil-water two-phase flow patterns. In this regard, visibility graph could be a useful tool for processing experimental signals.
流体流动信号的可视性图分析
近年来,可见度图在分析复杂的自然和人工系统的测量信号方面已经确立了自己特别适合和灵活的地位。油水两相流作为一种复杂的流体流动,是最复杂的流体系统之一。本文采用可见性图对实验两相流测量信号进行分析。首先介绍了倾斜油水两相流实验及数据采集。然后给出了从信号中构造可见性图的算法。最后,从不同流体流动条件下测量的信号中推断和分析可见性图。结果表明,网络度组合参数对不同流型之间的过渡较为敏感,可用于区分和表征不同的油水两相流型。可见性图是处理实验信号的有效工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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