Frequency Domain Feature Extraction Investigation to Increase the Accuracy of an Intelligent Nondestructive System for Volume Fraction and Regime Determination of Gas-Water-Oil Three-Phase Flows

Frequency Domain Feature Extraction Investigation to Increase the Accuracy of an Intelligent Nondestructive System for Volume Fraction and Regime Determination of Gas-Water-Oil Three-Phase Flows

In this research, a methodology consisting of an X-ray tube, one Pyrex-glass pipe, and two NaI detectors was investigated to determine the type of flow regimes and volume fractions of gas-oil-water three-phase flows. Three prevalent flow patterns—namely annular, stratified, and homogenous—in various...

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Bibliographic Details
Main Authors: Osman Taylan, Mohammad Amir Sattari, Imene Elhachfi Essoussi, Ehsan Nazemi
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Mathematics
Subjects:
volume fraction
RBF neural network
feature extraction
frequency domain
Online Access:https://www.mdpi.com/2227-7390/9/17/2091

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