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Content Provider | IEEE Xplore Digital Library |
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Author | Junhua Luo Haigang Zhu Jiang Feng Jian Yuan |
Copyright Year | 2002 |
Description | Author affiliation: Wuhan High Voltage Res. Inst., Hubei, China (Junhua Luo) |
Abstract | Fractals have been very successfully used to provide a description and to model mathematically many of the naturally occurring complex phenomena and shapes. Partial discharge (PD) occurring in XLPE-power cables is a cryptic phenomenon, with detectable features differing in a thousand ways. In this paper, the authors have investigated and presented preliminary results on the use of fractal features for recognition of 3-D PD patterns. This work is based on the assumption that the random 3-D PD pattern surface qualifies as a fractal surface and it was found that two fractal features, fractal. dimension and self-similar characteristic, possess reasonably good pattern recognition capabilities. According to fractal surface shapes of 3-D partial discharge patterns, correlative function and fractal dimension of the fractal surface are established in this paper. Recognition of PD signal is put forwards based on fractal features of 3-D PD patterns. |
Sponsorship | IEEE |
Starting Page | 116 |
Ending Page | 118 |
File Size | 247372 |
Page Count | 3 |
File Format | |
ISBN | 0780373375 |
DOI | 10.1109/ELINSL.2002.995894 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2002-04-07 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Pattern analysis Partial discharges Power cables Fractals Equations Shape Surface discharges Pattern recognition Geometry Mathematics |
Content Type | Text |
Resource Type | Article |
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