计算机科学 ›› 2022, Vol. 49 ›› Issue (11A): 210800209-5.doi: 10.11896/jsjkx.210800209
高际航, 张艳
GAO Ji-hang, ZHANG Yan
摘要: 故障发生会极大地影响船舶区域配电电力系统运行的安全性。为了保证船舶的安全运行,针对船舶区域配电电力系统中的10种短路故障,用MATLAB/Simulink建立船舶区域配电电力系统的电力系统仿真模型,利用SMOTE过采样对故障数据进行预处理。利用主成分分析(Principal Components Snalysis,PCA)提取出故障数据中的特征向量,并将其作为多分类支持向量机(Multiclass Support Vector Machine,MSVM)的输入进行故障诊断。为了优化诊断结果,提出烟花粒子群优化算法来优化MSVM的惩罚因子C和核函数参数γ,再与仅粒子群优化算法寻优后MSVM故障分类的结果进行对比。仿真验证结果表明,所提算法具有更高的故障分类准确率和精度。
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