Title :
Detection of Broken Rotor Bars and Stator Faults in Squirrel-Cage Induction Machine by Spectral Analysis
Author :
Touhami, O. ; Fadel, Maurice
Author_Institution :
Dept. of Electr. Eng., National Polytech. Coll., Algiers
Abstract :
This paper presents the analysis of the stator current signature of the induction motor by the traditional methods that use fast Fourier transform (FFT), short-term Fourier transform (STFT) and the representation by spectrogram. The obtained results on four designed induction machines and are especially constructed for the purpose of the defects diagnosis are presented. One compares these results with those gotten by the help of transformed it in wavelets. Then, the dynamic performances of the squirrel-cage rotor induction machines with their respective faults while using an analytic method based on the equivalent diagram and the vector diagram of the currents, is analyzed.
Keywords :
asynchronous machines; fast Fourier transforms; fault diagnosis; machine testing; rotors; spectral analysis; wavelet transforms; broken rotor bar detection; defect diagnosis; fast Fourier transform; short-term Fourier transform; spectral analysis; spectrogram; squirrel-cage induction machine; stator current signature; stator faults detection; vector diagram; wavelet transform; Bars; Fast Fourier transforms; Fault detection; Fourier transforms; Induction machines; Induction motors; Performance analysis; Rotors; Spectral analysis; Stators;
Conference_Titel :
System Theory, 2007. SSST '07. Thirty-Ninth Southeastern Symposium on
Conference_Location :
Macon, GA
Print_ISBN :
1-4244-1126-2
Electronic_ISBN :
0094-2898
DOI :
10.1109/SSST.2007.352364