Monitoring HVDC systems using wavelet multi-resolution analysis

被引：44
|
作者：
Gaouda, AM [1 ]
El-Saadany, EF
Salama, MMA
Sood, VK
Chikhani, AY
机构：
[1] Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON N2L 3G1, Canada
[2] Concordia Univ, Dept Elect & Comp Engn, Montreal, PQ, Canada
[3] Royal Mil Coll Canada, Dept Elect & Comp Engn, Kingston, ON, Canada
来源：
IEEE TRANSACTIONS ON POWER SYSTEMS | 2001年 / 16卷 / 04期
关键词：
commutation failure; feature extraction; HVDC system; multiresolution signal decomposition; wavelet analysis;
D O I：
10.1109/59.962411
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 paper presents a disturbance classification technique based on wavelet multi-resolution analysis. The wavelet multi-resolution transform is introduced as a tool for providing discriminative, translation-invariant features with small dimensions to classify different disturbances in an HVDC transmission system. The proposed method extracts features from signals monitored on both DC and AC sides of the HVDC system. It is shown that monitored signals show promising features that can classify different disturbances that may occur anywhere in the HVDC system.
引用
收藏
页码：662 / 670
页数：9
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