Notice of RetractionCondition prediction of power transformer based on discrete gray model

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

On the basis of the analysis of the advantages and limitations of two different ways to predict the condition of power transformer, an approach to the prediction of characteristic parameters based on the discrete gray model is introduced into the reliability prediction of power transformer, as a solution to avoid the possible instability of the traditional gray model prediction. And according to the data characteristics of the characteristic parameters of power transformer, data preprocessing of strong randomicity sequences, non-equidistance data equalized in the time is also described to make the discrete gray model suitable for original data prediction and to improve the prediction accuracy of characteristic parameters, and the method of continuous parameter-prediction is also proposed in the paper, so that all the obstacles from the theoretical analysis to the engineering application of condition prediction of power transformer by predicting the condition parameters values with discrete gray model are removed, and the right prediction of power transformer condition are achieved.