Procesamiento de datos mediante Wavelet para la modelación térmica de transformadores de potencia

in this work measurement get of experimental station connected in a power transformer of 100 mva in a barquisimeto substation in venezuela are processing to eliminate noise that introduce mistake in the parameters identification for top oil temperature model calculation. a methodology based in your experiences with experiences of international authors for the control of quality and elimination of the noise in the successfully obtained measurements is used. it's apply the discreet wavelet transform (dwt) to collect data that show good indicators of quality in the main values of the thermal model, as the load current, the ambient temperature and the top oil temperature. finally is compared thermal model results after and before data processing, where at increase in the exactitude of the thermal model is demonstrated.