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Diagnosis of Broken-Bar Fault in Induction Machines Using Discrete Wavelet Transform Without Slip Estimation

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3 Author(s)
Kia, S.H. ; Dept. of Electr. Eng., Univ. of Picardie Jules Verne, Amiens, France ; Henao, H. ; Capolino, G.-A.

The aim of this paper is to present a wavelet-based method for broken-bar detection in squirrel-cage induction machines. The frequency-domain methods, which are commonly used, need speed information or accurate slip estimation for frequency-component localization in any spectrum. Nevertheless, the fault frequency bandwidth can be well defined for any squirrel-cage induction machine due to numerous previous investigations. The proposed approach consists in the energy evaluation of a known bandwidth with time-scale analysis using the discrete wavelet transform. This new technique 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.

Published in:

Industry Applications, IEEE Transactions on  (Volume:45 ,  Issue: 4 )

Date of Publication:

July-aug. 2009

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