Aplicaciones de wavelets en la detección de fallas de máquinas de inducción

Translated title of the contribution: Applications of wavelets in induction machine fault detection

Erick Schmitt, Peter Idowu, Aldo Morales

Research output: Contribution to journalArticlepeer-review

21 Scopus citations


This paper presents a new wavelet-based algorithm for three-phase induction machine fault detection. This new method uses the standard deviation of wavelet coefficients, obtained from n-level decomposition of each phase voltage and current, to identify single-phasing faults or unbalanced stator resistance faults in induction machines. The proposed algorithm can operate independent of the operational frequency, fault type and loading conditions. Results show that this algorithm has better detection response than the Fourier transform-based techniques.

Translated title of the contributionApplications of wavelets in induction machine fault detection
Original languageSpanish
Pages (from-to)158-164
Number of pages7
Issue number2
StatePublished - Aug 2010

All Science Journal Classification (ASJC) codes

  • General Engineering


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