用自相关函数评价方法对局部放电信号进行分类

Conference Record of the 2006 IEEE International Symposium on Electrical Insulation Pub Date : 2006-06-11 DOI:10.1109/ELINSL.2006.1665317

A. Contin, S. Pastore

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引用次数: 6

摘要

提出了一种分离多源局部放电信号的新算法。它通过比较信号的自相关函数(ACFs)来评估信号形状的相似性，假设相同的PD源可以显示具有相似ACFs的信号。新的分类算法是基于改进的k -均值聚类(KMC)方法。本文报道了该算法的实验室测试。所提出的分类方法在信号自动分离方面又向前迈进了一步

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Classification of partial discharge signals by means of auto-correlation function evaluation

A new algorithm for the separation of partial discharge (PD) signals due to multiple sources is presented in this paper. It evaluates the similarity of the signals shape by comparing their auto-correlation functions (ACFs), on the assumption that the same PD source can exhibit signals having similar ACFs. The new classification algorithm is based on a modified K-mean clustering (KMC) method. A laboratory test of the proposed algorithm is reported. The proposed classification method may constitute a step forward in the automatic signal separation

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Conference Record of the 2006 IEEE International Symposium on Electrical Insulation

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