| Title |
Development of Management Software for Transformers Based on Artificial Intelligent Analysis Technology of Dissolved Gases in Oil |
| Authors |
선종호(Sun Jong-Ho) ; 한상보(Han Sang-Bo) ; 강동식(Kang Dong-Sik) ; 김광화(Kim Kwang-Hwa) |
| Keywords |
Oil-immersed Transformer ; Fault in Transformer ; Artificial Intelligent Diagnosis ; Neural Network |
| Abstract |
This paper describes development of management software for transformers based on artificial intelligent analysis technology of dissolved gases in oil. Fault interpretation using the artificial intelligent analysis is performed by the artificial neural network and a rule based on the analysis of dissolved gases. The used gases are acetylene(C_{2}H_{2}), hydrogen(H_2), ethylene(C_{2}H_{4}), methane(CH_4), ethane(C_{2}H_{6}), carbon monoxide(CO) and carbon dioxide(CO_2). This software is mainly composed of gases input, fault's causes, expected fault's phenomena in detail, the decision on maintenance as well as report and gas trend windows. It is indicated that this is very powerful software for the efficient management of oil-immersed transformers using data analysis of gas components. |