Maintenance predictive in electric transformers, applying spectral analysis to the flow of magnetic dispersion

Present work focuses to develop an orientated strategy itself to detect faults in transformers of potency, through the quantification of the spectrum in frequency of flow of magnetic dispersion. The flow of magnetic dispersion contains information of functional status of the electric machines, therefore his study, be this in the dominion of time or in the dominion of frequency it permits identifying faults or damages in premature statuses of development. The flow of magnetic dispersion contains information of functional status of the electric machines, therefore his study, be this in the dominion of time or in the dominion of frequency it permits identifying faults or damages in premature statuses of development. The quantifies the spectrum in frequency of flow of dispersion for different conditions of operation (normal and he fails controlled) and different charging condition (emptied and nominal load).