A Method of Diagnosing Power Transformer's Fault Based on Fuzzy c and Immune Genetic Algorithm

The local best solution is often gotten by fuzzy c. But the whole best solution can be gotten by immune genetic algorithm (IGA) effectively. In this paper, a new method that integrates fuzzy c with IGA is put forward for fault diagnosis of power transformer. The method converts the problem about minimum for fuzzy c to the problem about maximum for IGA. From the practice, the new method can diagnose the power transformerpsilas faults effectively. It has higher reliability and practicability.