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《Electric Power Automation Equipment》 2008-02
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Dissolved gas analysis based on GA and FCM for power transformer fault diagnosis

TIAN Zhiguang 1,ZHANG Hui fen 2(1.Nanjing University of Aeronautics and Astronautics,Nanjing 210006,China; 2.Ji'nan University,Ji'nan 250002,China)  
DGA(Dissolved Gas Analysis) is a method of power transformer fault diagnosis.Because the clustering center of FCM(Fuzzy C-Mean clustering algorithm) is difficult to determine and the local minimum occurs easily,a method,which combines the adaptive GA(Genetic Algorithm) and FCM together,is applied to DGA data analysis.The experimental data shows that,the proposed algorithm converges quickly,clusters samples effectively and recognizes faults properly.
【Fund】: 中国博士后科学基金项目(2006040933)~~
【CateGory Index】: TP18;TM41
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