Wavelet-based signal processing for disturbance classification and measurement

被引：59
|
作者：
Gaouda, AM [1 ]
Kanoun, SH
Salama, MMA
Chikhani, AY
机构：
[1] Univ Waterloo, Waterloo, ON N2L 3G1, Canada
[2] Royal Mil Coll Canada, Kingston, ON, Canada
来源：
IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION | 2002年 / 149卷 / 03期
关键词：
D O I：
10.1049/ip-gtd:20020119
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：
A systematic method for analysing power system disturbances in the wavelet domain is described. Wavelet domain capabilities in detection, classification and measurement,,, of various power system disturbances are presented. The distortion event is mapped into the wavelet domain and extracted from the measured signal. The duration of the distortion is measured in a noisy environment and its energy and RMS value evaluated. The proposed algorithm is applied to various power system disturbances.
引用
收藏
页码：310 / 318
页数：9
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