ELECTRIC POWER TRANSFORMER FAULT DIAGNOSIS USING DECISION TREE
SUN Hui 1, LI Wei dong 2, SUN Qi zhong 3 (1.North east China Institute of Electric Power Engineering,Jilin 132012,China; 2.Dalian University of Technology,Dalian 116023,China; 3.Fu Shun Electric Power Bureau,Fu Shun 113008,China)
Based on ID 3 method, which belong to pattern recognition, an electric power transformer fault diagnosis method is proposed. As the ID 3 method can handle the non numerical value feature patterns and has the function that can learn decision rules from samples, the application of the proposed method to some realistic samples shows that the ID 3 method fit for transformer fault diagnosis perfectly. Through discussion, the advantages of the proposed method, compare to the other method, which use AI, such as: artificial neural nets, expert system, are pointed out. It can be seen that the combination of ID 3 method with other AI method is an effective way to the practical fault diagnosis of electric power transformer.
【CateGory Index】： TM401