Fractal image compression applied in PD pattern recognition

Author

Li Jian ; Caixin, Sun ; Li Jian ; Zhijian, Yuan ; Ji, Yang

Author_Institution

Lab. of High Voltage Eng. & Electr. New Technol., Chongqing Univ., China

Volume

1

fYear

2001

fDate

2001

Firstpage

343

Abstract

Partial discharge (PD) is an important cause of insulation degradation in transformers and electrical machines. This paper introduces a kind of fractal image compression (FIC) method used in PD pattern recognition. With classification to domain blocks and quadtree partition to image, the method can compress PD gray intensity image effectively. By comparing the fractal dimensions of PD original and reconstructed images, the computation results indicate that the fractal dimensions of two kinds of image approach closely to each other under a certain degree of peak signal to noise, which shows that the FIC method can be used for PD pattern recognition

Keywords

data compression; electric machines; fractals; image coding; image reconstruction; partial discharge measurement; pattern recognition; power transformers; quadtrees; PD pattern recognition; domain blocks; electrical machines; fractal dimensions; fractal image compression; fractal image compression method; gray intensity image compression; insulation degradation; peak signal to noise; quadtree partition; reconstructed images; transformers; Degradation; Dielectrics and electrical insulation; Fractals; Image coding; Image reconstruction; PSNR; Partial discharges; Pattern recognition; Power transformer insulation; Quadratic programming;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Machines and Systems, 2001. ICEMS 2001. Proceedings of the Fifth International Conference on

Conference_Location

Shenyang

Print_ISBN

7-5062-5115-9

Type

conf

DOI

10.1109/ICEMS.2001.970682

Filename

970682