DocumentCode
2373623
Title
Artificial Neural Networks as Harmonic Detectors
Author
Zouidi, Abdelaziz ; Fnaiech, Farhat ; Haddad, Kamal AL ; Rahmani, Salem
Author_Institution
Ecole Superieure des Sci. et Tech. de Tunis, Univ. de Tunis
fYear
2006
fDate
6-10 Nov. 2006
Firstpage
2889
Lastpage
2892
Abstract
In order to succeed harmonic mitigation in electrical circuits, it´s very important to estimate or extract the compensating harmonic references. Any failure in this last procedure will cause failure in the harmonic elimination. In fact, in the literature many harmonic detection or estimation methods were presented, in this paper we focus on a new idea to apply artificial intelligence methods namely artificial neural networks in harmonic detection
Keywords
active filters; neural nets; power engineering computing; power harmonic filters; artificial intelligence methods; artificial neural networks; electrical circuits; harmonic detectors; harmonic elimination; shunt active power filter; Active filters; Artificial intelligence; Artificial neural networks; Circuits; Detectors; Harmonic distortion; Power electronics; Power harmonic filters; Power system harmonics; Power system reliability; artificial intelligence; artificial neural networks; harmonic detection;
fLanguage
English
Publisher
ieee
Conference_Titel
IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on
Conference_Location
Paris
ISSN
1553-572X
Print_ISBN
1-4244-0390-1
Type
conf
DOI
10.1109/IECON.2006.347750
Filename
4153479
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