IIIE   20352
INSTITUTO DE INVESTIGACIONES EN INGENIERIA ELECTRICA "ALFREDO DESAGES"
Unidad Ejecutora - UE
artículos
Título:
Wavelet analysis for stator fault detection in induction machines
Autor/es:
S. GIACCONE; G. BOSSIO; G. GARCÍA; J. SOLSONA
Revista:
International Journal of Wavelets, Multiresolution and Information Processing
Editorial:
World Scientific
Referencias:
Año: 2009
ISSN:
0219-6913
Resumen:
The main objective of the proposed analysis is the detection of inter-turn short circuits
in the stator windings of an induction motor. In this way, the analysis of the current
vector radius of an induction motor is presented in the present effort. This analysis is
based on Daubechies 8 wavelet with 7 decomposition levels. The 5th decomposition-level
detail signal for a 4 kHz sampling frequency is chosen as a fault indicator, based on
simulation results that show different behaviours of the energy contained in the detail
signals for different percentages of load and fault levels, these results are also presented
in this work. Experimental results that validate the proposed strategy are also presented.
These results also show that the strategy is in addition immune to load variations as
well as to feeding voltage unbalances.