Title :
Application of radial basis neural networks for the rotor fault detection of the induction motor
Author :
Kaminski, Marcin ; Kowalski, Czeslaw T. ; Orlowska-Kowalska, Teresa
Author_Institution :
Fac. of Electr. Eng., Wroclaw Univ. of Technol., Wroclaw, Poland
Abstract :
The main stages of the design methodology of the radial basis neural detectors are described. Furthermore, influence of neural networks complexity and parameters of RBF activation function on quality of data classification is shown. Presented neural detectors are tested with data obtained in laboratory setup contained of converter-fed induction motor and changeable rotors with different degree of damages.
Keywords :
electric machine analysis computing; fault diagnosis; induction motors; radial basis function networks; rotors; RBF activation function; data classification; induction motor; neural networks complexity; radial basis neural networks; rotor fault detection; Artificial neural networks; Bars; Fault detection; Induction motors; Neurons; Rotors; Stators; RBF neural networks; diagnostic symptoms; fault detector; induction motor; rotor fault;
Conference_Titel :
EUROCON - International Conference on Computer as a Tool (EUROCON), 2011 IEEE
Conference_Location :
Lisbon
Print_ISBN :
978-1-4244-7486-8
DOI :
10.1109/EUROCON.2011.5929405
