Comparisons of discrete wavelet transform, wavelet packet transform and stationary wavelet transform in denoising PD measurement data

被引：24
|
作者：
Zhou, X. [1 ]
Zhou, C. [1 ]
Stewart, B. G. [1 ]
机构：
[1] Glasgow Caledonian Univ, Sch Engn Sci & Design, Cowcaddens Rd, Glasgow G4 0BA, Lanark, Scotland
来源：
CONFERENCE RECORD OF THE 2006 IEEE INTERNATIONAL SYMPOSIUM ON ELECTRICAL INSULATION | 2006年
关键词：
D O I：
10.1109/ELINSL.2006.1665301
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：
Noise has been a major limitation to partial discharge (PD) measurement. It is crucial to suppress noise prior to any PD data analysis. Recent research shows that the Discrete Wavelet Transform, Wavelet Packet Transform and Stationary Wavelet Transform techniques have all achieved good effect in noise rejection in PD measurement. This paper compares the effectiveness and computing time required of the three types of wavelet transform methods when applied to simulated PD data in presence of white noise and sinusoidal interference.
引用
收藏
页码：237 / +
页数：2
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