Modeling of rotary vane compressor applying artificial neural network

International Journal of Refrigeration

Volumn 34, Issue 3, 2011, Pages 764-772

  Sanaye, Sepehr ^a   Dehghandokht, Masoud ^a   Mohammadbeigi, Hassan ^b   Bahrami, Salman ^b  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b R and D Division   (Iran)

Author keywords

Air conditioning; Automobile; Neural network; Rotary compressor

Indexed keywords

ARTIFICIAL NEURAL NETWORK; COMPRESSOR POWER; CORRELATION COEFFICIENT; DISCHARGE PRESSURES; DISCHARGE TEMPERATURE; EXPERIMENTAL DATA; EXPERIMENTAL SETUP; EXPERIMENTAL VALUES; INPUT VALUES; MASS FLOW RATE; MEAN RELATIVE ERROR; OPERATING PARAMETERS; OUTPUT PARAMETERS; REGRESSION MODEL; ROOT MEAN SQUARE ERRORS; ROTARY COMPRESSOR; ROTATING SPEED; STEADY-STATE OPERATING CONDITIONS; SUCTION TEMPERATURE; THERMAL MODELING;

AIR CONDITIONING; COMPRESSORS; MASS TRANSFER; PIPE FLOW; REFRIGERANTS; REGRESSION ANALYSIS;

NEURAL NETWORKS;

EID: 79952360540     PISSN: 01407007     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijrefrig.2010.12.007     Document Type: Article

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