Abstract
Transformer operation conditions are quite crucial for industry as they have significant influence on transformer remained lifetime. This influence becomes even more significant once transformer operates at high ambient temperature. Hence, development of an intelligent system that able to monitor the effect of environmental conditions on remained lifetime together with aging rate, and provide information in real time is substantial. This study is focused on an online system forecasting transformer aging rate and remained life. To evaluate the proposed model, simulation results are compared to calculations proposed by IEC standards. Moreover, system's behavior under real life conditions is analyzed and results suggesting possible industry enhancements are provided.