Title :
Fault detection in induction motors with independent component analysis (ICA)
Author :
Guney, Irfan ; Kilic, Erdal ; Ozgonenel, Okan ; Ulutas, Mustafa ; Karadeniz, Erol
Author_Institution :
Altunizade Mahallesi Fahrettin Kerim, Acibadem Univ., Istanbul, Turkey
Abstract :
In this study, the aim is to detect an induction motor´s winding faults by using independent component analysis (ICA). Many laboratory experiments have been done on an induction motor to check the performance of the proposed method. The phase currents of the induction motor are used in the fault detection algorithm. The algorithm is implemente d by using MATLAB. The proposed method is compared to FFT solution to see its ability to distinguish fault currents. It has been observed that the proposed method based on ICA can efficiently be used to detect induction motors winding faults.
Keywords :
fast Fourier transforms; fault location; independent component analysis; induction motors; mathematics computing; windings; FFT; ICA; MATLAB; fault currents; fault detection; independent component analysis; induction motors; phase currents; winding faults; Fault detection; Independent component analysis; Induction motors; Laboratories; MATLAB; Principal component analysis; Production; Random variables; Rotors; Stator windings; FFT; ICA; Internal Fault; stator faults;
Conference_Titel :
PowerTech, 2009 IEEE Bucharest
Conference_Location :
Bucharest
Print_ISBN :
978-1-4244-2234-0
Electronic_ISBN :
978-1-4244-2235-7
DOI :
10.1109/PTC.2009.5282251