Title :
A fuzzy logic approach for the detection of broken rotor bars in squirrel cage induction motors
Author :
Dias, Cleber G. ; Chabu, L.E.
Author_Institution :
Dept. of Sci., Uninove, Sao Paulo
Abstract :
This paper presents a fuzzy logic approach in order to aid in detection of broken rotor bars. A mathematical model based on magnetic flux density monitoring is used to identify rotor faults. A Fuzzy approach has been developed as a tool in order to diagnosis broken bars and to estimate the failure severity. Simulation results are presented from the model implemented using the MATLAB Toolbox software.
Keywords :
fault diagnosis; fuzzy logic; fuzzy set theory; induction motors; mathematics computing; mechanical engineering computing; power engineering computing; rotors; squirrel cage motors; MATLAB Toolbox software; broken rotor bars; failure severity; fuzzy logic approach; magnetic flux density monitoring; squirrel cage induction motors; Bars; Condition monitoring; Fault diagnosis; Fuzzy logic; Induction motors; MATLAB; Magnetic flux density; Mathematical model; Rotors; Software tools;
Conference_Titel :
Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1818-3
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2008.4630642
