Title :
Diagnosis of induction motor rotor broken bars
Author :
Bacha, K. ; Gossa, M. ; Capolino, G.A.
Author_Institution :
Centre de Recherche en Productique, Ecole Superieure des Sci. et Tech. de Tunis, Tunisie
Abstract :
The results of a comparative experimental investigation of various media for noninvasive diagnosis of rotor faults in three-phase induction machines are presented. Stator voltages and currents in a squirrel three-phase induction motor are measured, recorded and used for computation of the partial and total input powers. The different waveforms of the stator current, partial input power and total input power are subsequently analysed using the fast Fourier transform (FFT) to detect the incipient rotor fault with high accuracy.
Keywords :
fast Fourier transforms; fault diagnosis; rotors; squirrel cage motors; stators; FFT; fast Fourier transform; predictive maintenance; rotor broken bar; rotor fault detection; rotor fault diagnosis; signal processing; squirrel three-phase induction motor; stator current; stator voltage; Bars; Current measurement; Fast Fourier transforms; Fault detection; Induction machines; Induction motors; Noninvasive treatment; Rotors; Stators; Voltage;
Conference_Titel :
Industrial Technology, 2004. IEEE ICIT '04. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8662-0
DOI :
10.1109/ICIT.2004.1490209
