Power transformer condition monitoring and performance calculation method based on information fusion

In this research, Intelligent Electronic Device architecture will be designed. This architecture, which a processor is embedded into, is based on multi-agent and will be applied on electric power system. Proposed lED has some abilities: provide information about equipment condition, perform diagnosis, and provide prediction on transformer life remaining. Data from sensors is extracted to provide information on equipment condition. Electrical and physical quantities to be monitored are voltage, current, temperature, and frequency. lED will then analyze data to provide user with information about the condition of the transformer and life remaining estimation. Analyzing process is done using A3S algorithm. This algorithm will then determine which hypothesis is dominant in determining transformer performance and the condition of the