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
Link To Document :
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