Application of radial basis neural networks for the rotor fault detection of the induction motor

EUROCON 2011 - International Conference on Computer as a Tool - Joint with Conftele 2011

Volumn , Issue , 2011, Pages

  Kaminski, Marcin ^a   Kowalski, Czeslaw T ^a   Orlowska Kowalska, Teresa ^a  

^a WROCLAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

diagnostic symptoms; fault detector; induction motor; RBF neural networks; rotor fault

Indexed keywords

ACTIVATION FUNCTIONS; DEGREE OF DAMAGES; DESIGN METHODOLOGY; DIAGNOSTIC SYMPTOMS; FAULT DETECTOR; LABORATORY SET-UP; QUALITY OF DATA; RADIAL BASIS; RADIAL BASIS NEURAL NETWORKS; RBF NEURAL NETWORK; ROTOR FAULT; ROTOR FAULT DETECTION;

FAULT DETECTION; INDUCTION MOTORS; RADIAL BASIS FUNCTION NETWORKS; ROTORS (WINDINGS);

NEURAL NETWORKS;

EID: 79960649589     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EUROCON.2011.5929405     Document Type: Conference Paper

References (7)

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