Narrowband Interference Suppression of Partial Discharge on Singular Spectrum Analysis

Partial discharge detection is a crucial method for assessing the insulation condition of on-board high voltage cables. Due to the variability of the external environment and the multi-factor interference in the signal transmission process, it is difficult to obtain a more ideal partial discharge signal, which causes difficulties in the evaluation of cable insulation status. This paper proposes a method to suppress partial discharge narrow-band interference on the base of singular spectrum analysis, which achieves the analysis and prediction of one-dimensional signals by singular value decomposition (SVD) based on a matrix of specific matrices constructed from time serials., so that trend terms, periodic terms and noise can be decomposed from a time series. Featured in this article, we simulate the ideal partial discharge signal containing narrowband noise, and then apply this method to reduce the noise. The noise reduction results demonstrate that the proposed approach can be effective remove the narrow-band interference of partial discharge of vehicle-mounted high-voltage cables, and the research results of this paper are effective in extracting the partial discharge signal of vehicle-mounted high-voltage cables under narrow-band interference, which has certain guiding significance for determining the insulation state of vehiclemounted cables.