An approach to the analysis of the AC side current is presented for the purpose of identification of faults in the stator phase resistance of an AC induction motor drive. The method relies on the correlation between wavelet decomposition coefficients of the current in healthy and faulty conditions. The findings highlight that the fault causes waveform variations localized at specific decomposition levels. The presented approach may open the way to efficient training for fault recognition systems.
Diagnostic and model validation of a faulty induction motor drive via wavelet decomposition / L. Cristaldi, M. Lazzaroni, A. Monti, F. Ponci - In: IMTC/2004 : proceedings of the 21. IEEE instrumentation and measurement technology conference : from the electrometer to the networked instruments : a giant step toward a deeper knowledge : Como, Italy, may 18-20, 2004. 2. / [a cura di] S. Demidenko ... [et al.]. - Piscataway : Institute of electrical and electronics engineers, 2004. - ISBN 078038248X. - pp. 1460-1464 (( Intervento presentato al 21. convegno Instrumentation and Measurement Technology Conference (IMTC) tenutosi a Como nel 2004 [10.1109/IMTC.2004.1351342].
Diagnostic and model validation of a faulty induction motor drive via wavelet decomposition
M. LazzaroniSecondo
;
2004
Abstract
An approach to the analysis of the AC side current is presented for the purpose of identification of faults in the stator phase resistance of an AC induction motor drive. The method relies on the correlation between wavelet decomposition coefficients of the current in healthy and faulty conditions. The findings highlight that the fault causes waveform variations localized at specific decomposition levels. The presented approach may open the way to efficient training for fault recognition systems.
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