差分进化算法在变压器故障诊断中应用

针对典型小样本数据的变压器故障诊断,文章提出了一种基于差分进化算法优化的支持向量机构建电力变压器故障诊断方法。该方法是采用差分进化算法来优化支持向量机核函数参数g和惩罚因子C,将优化过的支持向量机对小样本故障数据进行故障诊断。实验结果表明,该方法比网格搜索优化算法和粒子群优化算法具有更高的准确率,非常适合于电力变压器的故障诊断。

Differential Evolution Algorithm in the Application of the Transformer Fault Diagnosis

According to transformer fault diagnosis for typical small sample data, Sthis paper proposes a support vector machine of power transformer fault diagnosis method (SVM) based on differential evolution algorithm optimization. This method use the differential evolution algorithm to optimize parameters C,g in support vector machine, using the optimized support vector machine (SVM) to fault diagnosis data of small sample, and comparing with other optimization algorithm of support vector machine (SVM).Experimental data shows that accuracy with this method higher than the grid search optimization method and particle swarm optimization algorithm ,and is very suitable for the fault diagnosis of power transformer.