DocumentCode :
2523312
Title :
Pattern recognition of partial discharge with fractal analysis to characteristic spectrum
Author :
Li Jian ; Ju, Tang ; Caixin, Sun ; Xin, Li ; Du Lin
Author_Institution :
Chongqing Univ., China
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
720
Abstract :
While partial discharge (PD) pattern recognition is widely considered as an important method to test insulation degradation, the major problem encountered is the extraction of PD pattern features. Using the analysis of the three-dimensional statistical spectrum, this paper adopts fractal theory to extract PD pattern features. From designed model tests and fraction calculation results, it is shown that the method is effective in extracting PD pattern features which are helpful in PD pattern recognition based on three-dimensional statistical spectrs
Keywords :
backpropagation; feature extraction; fractals; image recognition; insulation testing; partial discharge measurement; power engineering computing; spectral analysis; BPNN training; PD pattern feature extraction; backpropagation neural network; fractal analysis; insulation degradation testing; partial discharge pattern recognition; three-dimensional statistical spectrum; Character recognition; Degradation; Feature extraction; Fractals; Geometry; Insulation testing; Partial discharges; Pattern analysis; Pattern recognition; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Properties and Applications of Dielectric Materials, 2000. Proceedings of the 6th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
0-7803-5459-1
Type :
conf
DOI :
10.1109/ICPADM.2000.876126
Filename :
876126
Link To Document :
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