DocumentCode :
2403720
Title :
Spectral analysis for the rotor defects diagnosis of an induction machine
Author :
Touhami, Omar ; Noureddine, L. ; Ibtiouen, Rachid
Author_Institution :
Res. Lab. of Electrotechnics, Polytech. Nat. Sch., Algiers, Algeria
fYear :
2005
fDate :
1-3 Sept. 2005
Firstpage :
183
Lastpage :
187
Abstract :
The main goal of this paper is to develop a method permitting to determine the nature of the rotor defects thanks to the spectral analysis. The development growing that the equipment of measurement (spectral analyzer) and the software of digital signal processing had made possible the diagnosis of the electric machine defects. Motor current signature analysis (MCSA) is used for the detection of the electrical and the mechanical faults of an induction machine to identify rotor bar faults. Also, the calculation of machine inductances (with and without rotor defects) is carried out by the tools of software MATLAB before the beginning of simulation under Software SIMULINK. Simulation and experimental results are presented to confirm the validity of proposed approach.
Keywords :
asynchronous machines; electrical engineering computing; fault diagnosis; rotors; spectral analysis; digital signal processing; induction machine; motor current signature analysis; rotor defects diagnosis; spectral analysis; Digital signal processing; Electric machines; Electric variables measurement; Induction machines; Induction motors; Rotors; Signal analysis; Software measurement; Software tools; Spectral analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Signal Processing, 2005 IEEE International Workshop on
Print_ISBN :
0-7803-9030-X
Electronic_ISBN :
0-7803-9031-8
Type :
conf
DOI :
10.1109/WISP.2005.1531655
Filename :
1531655
Link To Document :
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