Fault detection and diagnosis system for air-conditioning units using recurrent type neural network
نویسندگان
چکیده
The airconditioning systems of buildings have been diversified in recent years, and the complexity of the system has been increased. At the same time, stability in the system and the low-running cost are demanded. To solve these problems, various researches have been done. The development of the energy load prediction systems and the faults detection and diagnosis systems have received greater attention. In this paper, we propose a real time fault diagnosis system for air conditioning units (the heating unit, the cooling unit, the air intake unit, and the air-recycling unit) using a recurrent type neural network.
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