Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/2390
Title: A Fuzzy Logic Approach for the Diagnosis of Rotor Faults in Squirrel Cage Induction Motors
Authors: S. E. Zouzou
W. Laala
S. Guedidi
M. Sahraoui
Keywords: fuzzy logic; diagnosi; induction motor
Issue Date: 21-Apr-2014
Abstract: 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: http://dspace.univ-biskra.dz:8080/jspui/handle/123456789/2390
Appears in Collections:Communications Internationales

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