Power quality detection and classification using wavelet-multiresolution signal decomposition

被引：387

作者：

Gaouda, AM ^{[1
]}

Salama, MMA

Sultan, MR

Chikhani, AY

机构：

[1] Univ Waterloo, Waterloo, ON N2L 3G1, Canada

[2] Hatch Associates, Adv Syst Grp, Mississauga, ON, Canada

[3] Royal Mil Coll Canada, Dept Elect & Comp Engn, Kingston, ON, Canada

来源：

IEEE TRANSACTIONS ON POWER DELIVERY | 1999年 / 14卷 / 04期

关键词：

power quality; wavelet analysis; and multiresolution signal decomposition;

D O I：

10.1109/61.796242

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 wavelet transform is introduced as a powerful tool for monitoring power quality problems generated due to dynamic performance of industrial plants. The paper presents a multiresolution signal decomposition technique as an efficient method in analyzing transient events. The multiresolution signal decomposition has the ability to detect and localize transient events and furthermore classify deferent power quality disturbances. It can also be used to distinguish among similar disturbances.

引用

页码：1469 / 1476

页数：8

共 13 条

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