A low data requirement model of a variable-speed vapour compression refrigeration system based on neural networks

International Journal of Refrigeration

Volumn 30, Issue 8, 2007, Pages 1452-1459

  Navarro Esbri J ^a   Berbegall, V ^b   Verdu, G ^b   Cabello, R ^a   Llopis, R ^a  

^a UNIVERSITAT JAUME I   (Spain)

^b UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Air conditioning; Anomaly; Compression system; Compressor; Detection; Energy consumption; Modelling; Neuronal network; Refrigeration; Variable speed

Indexed keywords

AIR CONDITIONING; COMPRESSORS; COMPUTER SIMULATION; ENERGY UTILIZATION; FAULT DETECTION; OPTIMIZATION; RADIAL BASIS FUNCTION NETWORKS; REFRIGERATION;

COMPRESSION SYSTEM; VAPOR COMPRESSION; VARIABLE-SPEED COMPRESSOR;

REFRIGERATING MACHINERY;

EID: 36549061920     PISSN: 01407007     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijrefrig.2007.03.007     Document Type: Article

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