Artificial neural network approach for flow regime classification in gas-liquid-fiber flows based on frequency domain analysis of pressure signals

Chemical Engineering Science

Volumn 59, Issue 11, 2004, Pages 2241-2251

  Xie, T ^a   Ghiaasiaan, S M ^a   Karrila, S ^b  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Artificial neural network; Flow regimes; Power spectrum density; Pressure fluctuation; Three phase; Transportability

Indexed keywords

DATA REDUCTION; FREQUENCY DOMAIN ANALYSIS; NEURAL NETWORKS; SENSORS; TRANSDUCERS;

FLOW REGIMES; GAS/LIQUID/PULP FIBER SYSTEMS; PRESSURE SIGNALS;

FLOW OF FLUIDS;

FLOW REGIME RELATIONS; GAS-LIQUID TWO-PHASE FLOW; NEURAL NETWORK; TRANSPORT;

EID: 2542419872     PISSN: 00092509     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ces.2004.02.017     Document Type: Article

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