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Estimating the Temperature of the Outlet Water of Cooling System of Gas Turbine V94.2 Using Fuzzy Neural Network

عنوان مقاله: Estimating the Temperature of the Outlet Water of Cooling System of Gas Turbine V94.2 Using Fuzzy Neural Network
شناسه ملی مقاله: EPGC07_040
منتشر شده در هفتمین کنفرانس نیروگاه های برق در سال 1393
مشخصات نویسندگان مقاله:

Ali Rabbani - Khorasan management Company Gas Power Plant Mashhad, Iran
Nima Vaezi - Department of Electrical Engineering Ferdowsi University of Mashhad Mashhad, Iran
Majid Mosahehi - Department of Electrical Engineering Ferdowsi University of Mashhad Mashhad, Iran

خلاصه مقاله:
Abstract—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 article 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.

کلمات کلیدی:
Fuzzy Neural Network, Gas-Turbine V94.2, Heat transducer, Temperature estimation

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/368871/