HARMONIC DETECTION USING FEED FORWARD ARTIFICIAL NEURAL NETWORKS

被引：0
|
作者：
Gunturkun, Rustu [1 ]
Temurtas, Feyzullah [2 ]
Yumusak, Nejat [2 ]
机构：
[1] Dumlupinar Univ, Simav Tech Educ Fac, Kutahya, Turkey
[2] Sakarya Univ, Fac Engn, Comp Engn Dept, Sakarya, Turkey
来源：
SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES-SIGMA MUHENDISLIK VE FEN BILIMLERI DERGISI | 2006年 / 24卷 / 03期
关键词：
Feed forward artificial neural networks; active filter; harmonic detection; hidden layer;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this study, the method to apply the feed forward neural networks with two different numbers of hidden layers for harmonic detection process in active filter are described. We have simulated the distorted wave including 5th, 7th, 11th, 13th harmonics and used them for training of the neural networks. The distorted wave including up to 25th harmonics were prepared for testing of the neural networks. Feed forward neural networks have been used to recognize each harmonic. The results show that these neural networks are applicable to detect each harmonic effectively. The results of the neural network with two hidden layers are better than that of the other.
引用
收藏
页码：137 / 143
页数：7
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