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송기욱(Kiwook Song),이철진(Chul-Jin Lee),김대연(Daeyoun Kim),한종훈(Chonghun Han) 대한설비공학회 2010 대한설비공학회 학술발표대회논문집 Vol.2010 No.6
Hybrid modeling technique of ideal model and empirical model is developed to predict efficiency and power consumption of compression system. Ideal thermodynamic model is modified to meet the variable sensing conditions in real industries. Artificial Neural Network is used as nonlinear empirical modeling technique. The developed modeling method is applied to compression system in Compressed Dry Air system in Liquid Crystal Display production industry.