Oil-in-Water Two-Phase Flow Pattern Identification From Experimental Snapshots Using Convolutional Neural Network

The flow pattern is one of the most significant parameters in modeling the oil-water two-phase system. How to extract efficient and objective features to precisely identify the oil-water two-phase flow patterns is still a significant issue. Inspired by the deep learning hierarchically feature extrac...

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Veröffentlicht in:	IEEE access 2019-01, Vol.7, p.6219-6225
Hauptverfasser:	Du, Meng, Yin, Hongyi, Chen, Xiaoyan, Wang, Xinqiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Binary systems Data mining Deep learning Feature extraction Fluid flow Fluids image classification Image segmentation Machine learning Neural networks Oils Pattern recognition Two phase flow Water flow
Online-Zugang:	Volltext
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