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文章摘要
基于广义Dice系数和局部离群因子的串户排查方法
Energy meter wrong wiring detection method based on generalized Dice’s coefficient and local outlier factor
Received:November 08, 2019
Revised:December 02, 2019
DOI：
10.19753/j.issn1001-1390.2021.12.020
中文关键词
:
串户排查
信号预处理
广义Dice系数
局部离群因子
K-means聚类
英文关键词
:
energy meter wrong wiring detection, signal preprocess, generalized Dice’s coefficient, local outlier factor, K-means clustering
基金项目
:
Author Name
Affiliation
E-mail
zhou yu ye
*
Hu''nan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology
,
State Grid Hu''nan Electric Power Company Power Supply Service Center(Metrology Center)
1040574020@qq.com
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中文摘要
:
非入户式串户排查方案已成为当前电力行业的研究热点，然而该方案的主要缺陷是对于采集数据难以有效利用导致串户排查的准确度不高。针对该问题，提出一种基于广义Dice系数(generalized Dice’s coefficient, GDC)和局部离群因子(local outlier factor, LOF)的串户排查方法。首先，借助于广义Dice系数分析不同频点处采集信号的相似度，使具有较高相似性的频点划分到一起。因此可以获得多个具有信号差异性的频块。然后，应用局部离群因子和K-means聚类算法剔除频块内相对离散频点以进一步提高频块内部的一致相似度。最后，融合所有频块的信号作为串户排查的依据。现场测试结果表明，文中方法能够挖掘显著的信号特征，提高串户辨识的准确度。
英文摘要
:
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