Partial discharge image recognition influenced by fractal image compression

被引：44

作者：

Li, Jian ^{[1
]}

Sun, Caixin ^{[1
]}

Grzybowski, S. ^{[2
]}

机构：

[1] Chongqing Univ, Coll Elect Engn, Dept High Voltage & Insulat Technol,Minist Educ, Key Lab High Voltage Engn & Elect New Technol, Chongqing 400044, Peoples R China

[2] Mississippi State Univ, Dept Elect & Comp Engn, High Voltage Lab, Mississippi State, MS 39762 USA

来源：

IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION | 2008年 / 15卷 / 02期

关键词：

partial discharge image; pattern recognition; fractal image compression; image compression error;

D O I：

10.1109/TDEI.2008.4483470

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：

This paper presents a quadtree partitioning fractal image compression (QPFIC) method used for the partial discharge (PD) image remote recognition system. Self-similarity in PD images is the premise of fractal image compression and is described for the typical PD images acquired from defect model experiments in laboratory. Influences of fractal image compression on a group of PD image features are discussed. Fifty PD data samples are used to qualify the QPFIC to be used in remote PD pattern recognition. Analysis results show that the QPFIC method produces errors of the computational features. Such errors could not influence the PD image recognition results tinder the control of the PD image compression errors.

引用

页码：496 / 504

页数：9

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