Ingeniare. Revista chilena de ingeniería
versión On-line ISSN 0718-3305
SCHMITT, Erick; IDOWU, Peter y MORALES, Aldo. APPLICATIONS OF WAVELETS IN INDUCTION MACHINE FAULT DETECTION. Ingeniare. Rev. chil. ing. [online]. 2010, vol.18, n.2, pp. 158-164. ISSN 0718-3305. http://dx.doi.org/10.4067/S0718-33052010000200002.
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.
Palabras llave : Wavelets; fault detection; induction machines; fast Fourier transform; early detection.