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Development of Management Software for Transformers Based on Artificial Intelligent Analysis Technology of Dissolved Gases in Oil  

Sun Jong-Ho (한국전기연구원 산업전기연구단)
Han Sang-Bo (한국전기연구원 산업전기연구단)
Kang Dong-Sik (한국전기연구원 산업전기연구단)
Kim Kwang-Hwa (한국전기연구원 산업전기연구단)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers C / v.54, no.12, 2005 , pp. 578-584 More about this Journal
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.
Keywords
Oil-immersed Transformer; Fault in Transformer; Artificial Intelligent Diagnosis; Neural Network;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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