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

机译:基于模糊c和免疫遗传算法的电力变压器故障诊断方法。

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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 transformer's faults effectively. It has higher reliability and practicability.
机译:局部最佳解通常是通过模糊c得到的。但是,通过免疫遗传算法(IGA)可以有效地获得最佳解决方案。提出了一种将模糊c与IGA融合的新方法,用于电力变压器的故障诊断。该方法将关于模糊c的最小值问题转换为关于IGA的最大值问题。通过实践,该新方法可以有效地诊断电力变压器的故障。具有较高的可靠性和实用性。

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