Fast classification of two-phase flow regimes based on conductivity signals and artificial neural networks

Measurement Science and Technology

Volumn 17, Issue 6, 2006, Pages 1511-1521

  Hernandez L ^a   Julia J E ^a   Chiva, S ^a   Paranjape, S ^b   Ishii, M ^b  

^a UNIVERSITAT JAUME I   (Spain)

^b Purdue University   (United States)

Author keywords

Artificial neural networks; Conductivity probes; Multiphase flow classification; Vertical flow loop

Indexed keywords

HYDRODYNAMICS; NEURAL NETWORKS; SIGNAL PROCESSING; STATISTICAL METHODS;

CONDUCTIVITY PROBES; CUMULATIVE PROBABILITY DENSITY FUNCTIONS (CPDF); MULTIPHASE FLOW CLASSIFICATION; VERTICAL FLOW LOOP;

TWO PHASE FLOW;

HYDRODYNAMICS; NEURAL NETWORKS; SIGNAL PROCESSING; STATISTICAL METHODS; TWO PHASE FLOW;

EID: 33646890405     PISSN: 09570233     EISSN: 13616501     Source Type: Journal    
DOI: 10.1088/0957-0233/17/6/032     Document Type: Conference Paper

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