Title :
Diagnosis of Broken Bar Fault in Induction Machines Using Discrete Wavelet Transform without Slip Estimation
Author :
Kia, Shahin Hedayati ; Henao, Humbero ; Capolino, Gérard-André
Author_Institution :
Univ. of Picardie "Jules Verne", Amiens
Abstract :
The aim of this paper is to present a wavelet-based method for broken bar fault detection in induction machines. The frequency-domain methods which are commonly used need speed information or accurate slip estimation for frequency components localization in any spectrum. Nevertheless, the fault frequency bandwidth can be well defined for any induction machine due to numerous previous investigations. The proposed approach consists in the energy evaluation of this known bandwidth with time-domain analysis using the discrete wavelet transform (DWT). Then, it has been applied to the stator current space vector magnitude and the instantaneous magnitude of the stator current signal for different broken bar fault severities and load levels.
Keywords :
bars; discrete wavelet transforms; fault diagnosis; induction motors; time-domain analysis; broken bar fault diagnosis; discrete wavelet transform; induction motors; slip estimation; stator current space vector magnitude; time-domain analysis; Bandwidth; Discrete wavelet transforms; Electrical fault detection; Fault diagnosis; Frequency estimation; Induction machines; Signal processing; Stators; Time domain analysis; Wavelet analysis;
Conference_Titel :
Industry Applications Conference, 2007. 42nd IAS Annual Meeting. Conference Record of the 2007 IEEE
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-1259-4
Electronic_ISBN :
0197-2618
DOI :
10.1109/07IAS.2007.292
