A Novel Error Correction Method for UHF Partial Discharge Localization
The error of partial discharge (PD) localization by UHF method will become gradually larger with the increase of source distance due to the UHF signal caused by PD is smaller or even undetectable. To improve the localization accuracy efficiently, this paper proposed a novel error correction method based on BP neural network. The measurement error dataset was trained by our designed algorithm and a compensation curved surface was drawn. The mean square root error of field test localization data was corrected by the compensation surface and the results proved that our proposed method could be used to improve the accuracy of UHF based PD localization for power equipment of power station.