Partial Discharge Pattern Recognition of XLPE Cable Based on Vector Quantization

被引：11

作者：

Cheng, Zhe ^{[1
]}

Yang, Fan ^{[1
]}

Gao, Bing ^{[1
]}

Yu, Peng ^{[2
]}

Yang, Qi ^{[1
]}

Tian, Jie ^{[2
]}

Lu, Xu ^{[2
]}

机构：

[1] State Key Lab Power Transmiss Equipment & Syst Se, Chongqing 400044, Peoples R China

[2] Shenzhen Power Supply Bur Co Ltd, Shenzhen 518000, Peoples R China

来源：

IEEE TRANSACTIONS ON MAGNETICS | 2019年 / 55卷 / 06期

基金：

国家重点研发计划;

关键词：

Fast matching algorithm; partial discharge (PD); pattern recognition; vector quantization (VQ);

D O I：

10.1109/TMAG.2019.2899935

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The apparent charge sequence of cable joint samples with typical defects at different test voltages is utilized as a feature for pattern recognition of partial discharge (PD). The vector quantization and fast matching algorithm are introduced to realize PD pattern recognition of the cable. First, the codebook design makes use of Linde-Buzo-Gray encoding technology. Second, the code matrices of PD training samples and testing samples under different defects of cable joints are obtained, and the code occurrence frequency matrix is calculated. Finally, a fast matching algorithm is used to match the code occurrence frequency matrices of training and testing samples. The defect type with the highest matching degree is chosen as the recognition result. The recognition results of 100 samples of cable joints with four defect types demonstrate that the recognition algorithm has the advantages of high execution efficiency and high-recognition rate.

引用

页数：4

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