首先,利用Matlab建立光伏阵列仿真模型,设置故障点,获得不同故障数据.其次,利用VMD分解提取故障数据的九种特征向量,作为模型的输入量,故障类型作为输出层建立数据集.然后,采用SABO优化KELM的核参数和正则化参数,建立基于VMD-SABO-KELM的光伏阵列故障诊断模型.最后,通过实验对比,结果表明所提出的方法在分类准确度上高达...
(KELM)is proposed.Firstly,the SABO algorithm was used to optimize the VMD parameters and decompose the original signal to obtain the best modal components,and then the nine features were calculated to obtain the feature vectors.Secondly,the SABO algorithm was used to optimize the KELM parameters,...