NEAR PERFECT RECONSTRUCTION FILTER BANKS FOR POWER QUALITY ANALYSIS

被引：8
|
作者：
Taskovski, Dimitar [1 ]
Koleva, Ljubica [1 ]
Milchevski, Aleksandar [1 ]
Dimcev, Vladimir [1 ]
机构：
[1] Ss Cyril & Methodius Univ Skopje, Fac Elect Engn & Informat Technol, Skopje 1000, North Macedonia
来源：
METROLOGY AND MEASUREMENT SYSTEMS | 2013年 / 20卷 / 03期
关键词：
Power quality; power harmonics; disturbance classification; quadrature mirror filters; WAVELET TRANSFORM; HARMONICS; TOOLS;
D O I：
10.2478/mms-2013-0031
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
The wavelet transform has been successfully used in the area of power quality analysis. There are many published papers with methods for power quality disturbance classification or harmonics measurement, which use wavelet transform. However, the properties of the wavelet transform can drastically vary from the choice of the wavelet. In this paper we analyze the influence of the choice of the wavelet to the accuracy of the power quality classification method and to high frequency harmonics measurements. Additionally to the well known wavelet filters we introduce near perfect reconstruction filter banks, The simulation results indicate that these filter banks are a good choice for classification of power quality disturbances, especially in the presence of noise and for high frequency harmonics measurements.
引用
收藏
页码：359 / 370
页数：12
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