Author: SUN Kang, ZHANG Lu, WANG Fuzhong | Time: 2020-11-11 | Counts: |
doi:10.16186/j.cnki.1673-9787.2020.6.17
Received:2020/02/17
Revised:2020/03/29
Published:2020/11/15
Partial discharge signal denoising method based on variational modedecomposition and singular value decomposition
SUN Kang, ZHANG Lu, WANG Fuzhong
School of Electrical Engineering and Automation,Henan Polytechnic University Jiaozuo 454000 , Henan, China
Abstract:In order to effectively suppress the complex noise interference in partial discharge signals, a denoising method based on variational mode decomposition and singular value decomposition was proposed. Firstly, the number of modal decomposition in VMD algorithm was determined by leakage energy, and partial discharge signals were decomposed to obtain several natural modal components of finite bandwidth. Then, the components containing useful information were selected based on kurtosis index to reconstruct the signal and remove the periodic narrowband interference. Finally, singular value decomposition ( SVD ) was used to suppress the residual white Gaussian noise. The noise signal was denoised by the proposed method, and the first arrival time of the signal was picked up by the time-varying kurtosis method. Compared with the traditional wavelet method and empirical mode decomposition algorithm, the proposed method could effectively suppress the complex noise interference of local signal, and the signal waveform distortion after denoising was small and the signal pickup ac curacy was high.
Key words:partial discharge;variational mode decomposition;singular value decomposition;energy leakage;denoising method
基于变分模态分解和奇异值分解的局部放电信号去噪方法_孙抗.pdf