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This letter presents a new technique to identify partial discharge locations in transformer winding using electrical measurements. Useful features, which pinpoint the locations of partial discharges, are extracted from the periodogram of the secondary voltage of the transformer. These features are manipulated by a distance classifier to determine the locations of the partial discharges. Simulation results proof that the proposed method is efficient and can handle effectively transformer parameters deviations due to aging.