Artificial Immune Algorithm for Fault Diagnosis of Power Transformer

Artificial immune system is a kind of learning technology which is stimulated by a biological immune system and studies the natural defense mechanism of outside material. Based on the principle of immune recognition, this paper proposes a power transformer fault diagnosis method, which can get more characterization fault memory antibody characteristics of the sample collection and classification through the study of the fault samples by increasing the use of antigens, antibodies and memory types of information and so on. From the Matlab experimental data and the comparison of the results and the IEC of three ratios, we can get the conclusion that this algorithm can get much higher accuracy of diagnosis.