Estimating temperature of the outlet water of cooling system of gas turbine V94.2 using fuzzy neural network

Heat transducers are one of the basic parts of heating and cooling systems. Various types of such transducers are used in powerhouse industries. In this paper we try to study the functions of a heat-air-water transducer used in the cooling system of gas-turbine. As there is not enough information about the structure and components of such transducers, we have estimated the output temperature of this transducer by using other effective factors´ fuzzy neural method in the system. The comparison between the real and simulated data in the system showed that the model output followed the water temperature leaving the pumps with a good accuracy.