Automated wavelet selection and thresholding for PD detection

被引：187

作者：

Ma, X ^{[1
]}

Zhou, C ^{[1
]}

Kemp, IJ ^{[1
]}

机构：

[1] Glasgow Caledonian Univ, Glasgow G4 0BA, Lanark, Scotland

来源：

IEEE ELECTRICAL INSULATION MAGAZINE | 2002年 / 18卷 / 02期

关键词：

partial discharge (PD); PD detection; wavelet; wavelet transform (WT); noise reduction;

D O I：

10.1109/57.995398

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：

The objective of denoising is to remove noise from the measured data as effectively as possible while preserving the signal features essential to the application. A method for optimal wavelet-based denoising is proposed. The method is based on prior knowledge of the partial discharge (PD) pulse shape.

引用

页码：37 / 45

页数：9

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