DocumentCode :
2420831
Title :
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
Link To Document :
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