Comparison of feature extraction methods in partial discharge waveform recognition

被引：1
|
作者：
Zheng, Z [1 ]
Tan, K [1 ]
机构：
[1] Univ Toronto, Dept Elect & Comp Engn, Toronto, ON, Canada
来源：
2001 ANNUAL REPORT CONFERENCE ON ELECTRICAL INSULATION AND DIELECTRIC PHENOMENA | 2001年
关键词：
D O I：
10.1109/CEIDP.2001.963547
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Automated recognition of various types of partial discharge pulses based on the pulse waveform was investigated through application of an artificial neural network. Various feature extraction methods were applied, and the recognition efficiency was determined. The results indicate that the method based on the physical characteristics of the Partial Discharge, which employs expert prior knowledge, is most effective and computationally least intensive.
引用
收藏
页码：315 / 318
页数：4
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