Özet:

With the increase in industrialization, the increase in the number of people and buildings has also increased the need for refrigeration systems. Maintenance of refrigeration systems, malfunctions and their late detection cause time cost problems. The decrease in the performance of the refrigeration system or the occurrence of malfunctions cause economic costs as well as energy consumption. Therefore, in this study, it is recommended to examine the surface temperature changes using infrared imaging to detect the malfunctions that may occur in the refrigeration system. After removing the background image of the system first, the images are divided into 25 sub-regions. 9 sub-regions, which contain the elements that have important duties in the refrigeration system, have been selected in order to facilitate the fault investigation and increase the processing speed of the study. For each selected region, 4 features are obtained: maximum surface temperature, minimum surface temperature, average and densest surface temperature. The surface temperature data obtained from the refrigeration system were analyzed with box and line graphs, and the faults were evaluated together with their types. In this study, by revealing the surface variation characteristics of the fault types, the evaluation of all the fault types discussed was carried out with excellent results. It has shown that the realized system is more advantageous than traditional pressure, temperature and electrical measurements and fault detection methods due to its features such as ease of use, remote measurement and simultaneous recording. 

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