Title :
Visibility graph analysis of fluid flow signals
Author :
Zhongke Gao ; Lingchao Ji
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
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.
Keywords :
complex networks; flow measurement; graph theory; oils; stratified flow; water; complex artificial systems; complex natural systems; complicated fluid flow; data acquisition; fluid flow conditions; fluid flow signals; inclined oil-water two phase flow experiment; visibility graph analysis; Complex networks; Data acquisition; Dispersion; Educational institutions; Fluid flow measurement; Time series analysis; Voltage measurement;
Conference_Titel :
Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-1743-6
DOI :
10.1109/ICACI.2012.6463119