The accuracy improvement method for Partial discharge UHF measurement data based on Kalman filter algorithm

For PD detection, localisation, and analysis, precise measurement of partial discharge (PD) ultra-high frequency (UHF) data is essential. The UHF signals obtained are typically not accurate enough due to the complicated field electromagnetic noise environment and the capabilities of measurement devices. In order to increase the accuracy of UHF signal measurement, the Kalman filter technique will be used in this study. The UHF signal amplitude is processed using the Kalman filter technique to lessen variation and measurement error. The suggested technique is also used to the widely utilized MUSIC method for PD localization in order to test its efficacy. The experimental results demonstrate that the suggested approach may successfully increase the accuracy of UHF measurements because the angle of arrival (AOA) results from MUSIC combined with the Kalman filter algorithm are within 5 degrees.