Probabilistic mapping of adiabatic horizontal two-phase flow by capacitance signal feature clustering

International Journal of Multiphase Flow

Volumn 35, Issue 7, 2009, Pages 650-660

  Caniere H ^a   Bauwens, B ^a   T'Joen, C ^a   De Paepe, M ^a  

^a GHENT UNIVERSITY   (Belgium)

Author keywords

Clustering algorithm; Flow regime classification; Regression

Indexed keywords

AIR-WATER FLOW; CAPACITANCE SIGNAL; ELECTRIC CAPACITANCE; FLOW REGIME CLASSIFICATION; FLOW REGIME MAP; FLOW REGIME TRANSITION; FLOW REGIMES; FUZZY C-MEANS CLUSTERING ALGORITHMS; HEAT TRANSFER AND PRESSURE DROP; HIGH-SPEED CAMERA IMAGE; HORIZONTAL TUBES; MULTI VARIATE ANALYSIS; PROBABILISTIC INFORMATION; REGRESSION; REGRESSION TECHNIQUES; SENSOR SIGNALS; TWO PHASE FLOW MODEL; VISUAL CLASSIFICATION;

CAPACITANCE; CLASSIFIERS; DECISION MAKING; FLOW OF WATER; FLUID DYNAMICS; FUZZY CLUSTERING; LEARNING SYSTEMS; MULTIVARIANT ANALYSIS; PHASE TRANSITIONS; REGRESSION ANALYSIS; SENSORS; TWO PHASE FLOW;

CLUSTERING ALGORITHMS;

EID: 67349245790     PISSN: 03019322     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijmultiphaseflow.2009.03.006     Document Type: Article

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