Application of Singular Value Reconstruction in Suppressing Narrowband Interference of Partial Discharge

Abstract

In order to suppress the periodic narrowband interference in partial discharge (PD) online measurement, this paper presents a novel de-noising method based on singular value reconstruction. Firstly, the Hankel matrix is constructed by the PD sample sequence and singular value decomposition (SVD) is performed on it. Then the singular values corresponding to the narrowband interference are adaptively extracted by the K-means algorithm. Finally, the narrowband interference is reconstructed and removed from the original sample sequence to obtain the PD pulses. The de-noised results of the simulated and measured signals show that: Compared with the FFT threshold method and the wavelet de-noising method, the proposed method has better suppression effect on the narrowband interference; The de-noised PD waveform of the proposed method is more similar to the original PD pulses, which is more conducive to the subsequent analysis of the PD pulses.