DocumentCode :
3091006
Title :
A Fuzzy Logic Approach for the Diagnosis of Rotor Faults in Squirrel Cage Induction Motors
Author :
Zouzou, S.E. ; Laala, W. ; Guedidi, S. ; Sahraoui, M.
Author_Institution :
Lab. de Genie Electr., Univ. de Biskra, Biskra, Algeria
Volume :
2
fYear :
2009
fDate :
28-30 Dec. 2009
Firstpage :
173
Lastpage :
177
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.
Keywords :
fault diagnosis; fuzzy logic; fuzzy set theory; rotors; squirrel cage motors; broken bars detection; broken bars diagnosis; fuzzy logic approach; motor current signature analysis; rotor fault diagnosis; squirrel cage induction motors; Bars; Construction industry; Electrical fault detection; Fault diagnosis; Frequency; Fuzzy logic; Induction motors; Rotors; Stators; Thermal stresses; diagnosi; fuzzy logic; induction motor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Electrical Engineering, 2009. ICCEE '09. Second International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-1-4244-5365-8
Electronic_ISBN :
978-0-7695-3925-6
Type :
conf
DOI :
10.1109/ICCEE.2009.108
Filename :
5380209
Link To Document :
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