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电网技术  2007 

基于小波分解和数据挖掘中决策树算法的电能质量扰动识别方法

, PP. 78-82

Keywords: 电能质量扰动,小波变换,数据挖掘,决策树,特征提取,去噪

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Abstract:

针对短时电能质量变化和暂态扰动现象的不同特点,提出了一种基于小波分解和数据挖掘中决策树算法的电能质量扰动(powerqualitydisturbance,PQD)识别方法。建立了正弦信号和6种常见PQD信号的数学模型,通过小波分解得到了上述信号的特征量,结合决策树方法实现了对PQD的自动分类,并通过合理选择小波类型、分类算法和去噪方法提高了PQD的分类精度。实验结果验证了该识别方法的准确性和高效性。

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