A Comparative Study of Different Fault Diagnostic Methods of Power Transformer Using Dissoved Gas Analysis
نویسندگان
چکیده
Dissolved Gas Analysis is an important analysis for fault diagnosis and condition monitoring of power transformer. The various technique such as conventional methods, Artificial Intelligence, Artificial Neural network, Fuzzy Expert system, Genetic algorithm etc can be used to increase the efficiency and accuracy of diagnostics system. Failures of power transformer can cause malfunction of system device or damage to apparatus. This paper presents the review of different techniques with their relative advantages and shortcomings. Dissolved Gas Analysis of the oil samples has been widely used fault diagnostic tool. KeywordsDissolved Gas Analysis, Power Transformer, Fuzzy Logic, Fuzzy inference system, Artificial Neural Network, Expert System. * Mtech pursuing, Bapurao Deshmukh College of Engg, Sewagram. ** Asst. Professor, Bapurao Deshmukh College of Engg, Sewagram. IJMIE Volume 2, Issue 4 ISSN: 2249-0558 ___________________________________________________________ A Monthly Double-Blind Peer Reviewed Refereed Open Access International e-Journal Included in the International Serial Directories Indexed & Listed at: Ulrich's Periodicals Directory ©, U.S.A., Open J-Gage as well as in Cabell’s Directories of Publishing Opportunities, U.S.A. International Journal of Management, IT and Engineering http://www.ijmra.us 179 April 2012
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