基于PLO-SVMD与CNN-BiGRU-ATT的直流微电网故障诊断方法
针对因噪声干扰而导致直流微电网故障识别精度下降的问题,提出一种基于PLO-SVMD与CNN-BiGRU-ATT的故障诊断方法。首先,以最大互信息系数(MIC)为适应度函数,采用极光优化算法(PLO)优化逐次变分模态分解(SVMD)中的惩罚因子,提升信号分解质量与稳定性。其次,依据特征指标筛选出与故障特性高度相关的模态分量,抑制噪声干扰并完成信号重构。最后,构建CNN-BiGRU-ATT分类模型,融合卷积神经网络(CNN)的局部提取能力,双向门控循环单元(BiGRU)的时序建模能力以及注意力机制(ATT ...
毕鑫印, 何山
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