ESTABLISHMENT OF DIAGNOSING FAULTS AND MONITORING SYSTEM WITH NEURAL NETWORKS IN AIR CONDITIONING SYSTEMS

Year 2017, Volume: 2 Issue: 1, 21 - 27, 15.06.2017

Hüseyin Yüce

Abstract

Despite the fact that the world has different climate regions, humankind finds a living environment in a certain temperature, humidity range and clean weather conditions suitable for him. This living environment is defined as “Comfort Zone”. Today, people spend most of their daily lives in closed environments. The use of air conditioners is becoming increasingly widespread in order to create a comfortable environment in the living areas, especially shopping centers. In this study; a malfunction in an air condition was detected and the malfunction information was taken and sent to a remote server database via mobile internet infrastructure. The data on the server was processed with artificial intelligence and a mobile application was developed. Again, with an Android device with network access, it was aimed to retrieve the data from the database and forward it to the technical service personnel. An electronic card is designed for the retrieval of the fault data.

Keywords

Fault detection and diagnosis, neural networks, mobile programing

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