Study on the Fractal Characteristics of Ultra-Wideband Partial Discharge Signals Based on Wavelet Analysis
Cheng Yonghong£¬Xie Xiaojun£¬Jiang Yan£¬Chen Xiaolin£¬Xie Hengkun
(State Key Lab. of Electrical Insulation for Power Equipment,Xi'an Jiaotong University,Xi'an 710049,China)

Abstract£ºIn order to analyze the characteristics of ultra-wideband partial discharge signals in different frequency-band and to find the characteristic frequency band, an ultra-wideband partial discharge signal is decomposed into different frequency components based on wavelet analysis, then the fractal dimensions of the discharge signal in each frequency-band is calculated, and the characteristics of the partial discharge signals can be expressed in numerical quantities with fractal dimensions. By the method, the fractal characteristics of ultra-wideband partial discharge signals in different frequency-band can be obtained, which can lay the foundation of further study on the variation law of ultraª²wideband partial discharge signals.
Keywords£ºultraª²wideband partial discharge; wavelet packet analysis; characteristic peak; fractal analysis