Veuillez utiliser cette adresse pour citer ce document : http://hdl.handle.net/123456789/2390
Titre: A Fuzzy Logic Approach for the Diagnosis of Rotor Faults in Squirrel Cage Induction Motors
Auteur(s): S. E. Zouzou
W. Laala
S. Guedidi
M. Sahraoui
Mots-clés: fuzzy logic; diagnosi; induction motor
Date de publication: 21-avr-2014
Résumé: This paper presents a practical implementation of a new strategy using the fuzzy logic for the detection and the diagnosis of broken bars in electrical induction machine. Motor Current Signature Analysis (MCSA) was used. The strategy rests on the follow-up (in amplitude and frequency) of the harmonics representing the defects of the broken bars, preparing and thus generating the adequate inputs for the treatment where the decision is made by fuzzy logic. The results obtained are good and it is capable to detect the correct number of broken bar.
URI/URL: http://dspace.univ-biskra.dz:8080/jspui/handle/123456789/2390
Collection(s) :Communications Internationales

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