【摘 要】
：
提出了一种基于关联向量机和自适应陷波器的电压暂降检测识别方法.通过一自适应陷波器,快速完成电压暂降特征检测(包括持续时间、幅值、相位跳变等),并从其输出提取出9个暂降
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提出了一种基于关联向量机和自适应陷波器的电压暂降检测识别方法.通过一自适应陷波器,快速完成电压暂降特征检测(包括持续时间、幅值、相位跳变等),并从其输出提取出9个暂降关键特征信息.采用关联向量机分类模型对提取的特征信息进行训练与识别.仿真算例证明,该法快速有效完成电压暂降分类,识别出故障、电机启动和变压器激磁引起的三种电压暂降,精度高、实时性好,可应用于电能质量实时监测系统.
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