Application of fractals to PD signal recognition

Author

Zhao, Zhongyuan ; Qiu, Yuchang ; Kuffel, E.

Author_Institution

High Voltage Div., Xi´´an Jiaotong Univ., China

fYear

2002

fDate

7-10 Apr 2002

Firstpage

523

Lastpage

526

Abstract

A fractal random model namely the fractional Brownian motion (FBM) is established to describe a single PD pulse. The fractal dimension ruler variable (FDRV) and fractal dimension (FD), as two features derived through the least-square fitting, are introduced to extract characteristics from the single PD pulse. Analysis of experimental results indicates that the fractal dimension ruler variable has a higher sensitivity compared with fractal dimension, and therefore can he used as an important practical feature to recognize PD signals.

Keywords

Brownian motion; corona; fractals; insulation testing; least squares approximations; partial discharge measurement; signal processing; PD signal recognition; corona discharge experiments; fractal dimension; fractal dimension ruler variable; fractal random model; fractals; fractional Brownian motion; higher sensitivity; least-square fitting; partial discharge measurement; single PD pulse; Brownian motion; Fitting; Fractals; Insulation; Jacobian matrices; Mathematical model; Partial discharges; Shape; Signal analysis; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Insulation, 2002. Conference Record of the 2002 IEEE International Symposium on

Print_ISBN

0-7803-7337-5

Type

conf

DOI

10.1109/ELINSL.2002.995988

Filename

995988