Neuro-fuzzy approach for the detection of partial discharge

被引：19

作者：

Carminati, E ^{[1
]}

Cristaldi, L ^{[1
]}

Lazzaroni, M ^{[1
]}

Monti, A ^{[1
]}

机构：

[1] Politecn Milan, Dipartimento Elettrotecn, I-20133 Milan, Italy

来源：

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2001年 / 50卷 / 05期

关键词：

instrumentation; measurements; neuro-fuzzy; partial discharge;

D O I：

10.1109/19.963218

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：

Dielectric surfaces exposed to partial discharges (PD) undergo aging, which is reflected by changes in the discharge pulse form. An approach is described in which fuzzy logic and neural networks are used in conjunction with the wavelet transform to identify the parameters in the PD pulse form for the purpose of classifying the aging phenomena due to partial discharge degradation.

引用

页码：1413 / 1417

页数：5

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