Neural networks approach for prediction of gas-liquid two-phase flow pattern based on frequency domain analysis of vortex flowmeter signals

Measurement Science and Technology

Volumn 19, Issue 1, 2008, Pages

  Sun, Zhiqiang ^a,b   Zhang, Hongjian ^a  

^a STATE KEY LABORATORY OF INDUSTRIAL CONTROL TECHNOLOGY   (China)

^b CENTRAL SOUTH UNIVERSITY   (China)

Author keywords

Dynamic differential pressure; Flow pattern identification; Gas liquid two phase flow; Neural network; Power spectral density; Vortex flowmeter

Indexed keywords

NEURAL NETWORKS; SIGNAL ANALYSIS; TWO PHASE FLOW; VORTEX FLOW;

DYNAMIC DIFFERENTIAL PRESSURE; FLOW PATTERN IDENTIFICATION; GAS-LIQUID TWO-PHASE FLOW; VORTEX FLOWMETER;

POWER SPECTRAL DENSITY;

NEURAL NETWORKS; POWER SPECTRAL DENSITY; SIGNAL ANALYSIS; TWO PHASE FLOW; VORTEX FLOW;

EID: 38849138663     PISSN: 09570233     EISSN: 13616501     Source Type: Journal    
DOI: 10.1088/0957-0233/19/1/015401     Document Type: Article

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