Improved Variational Modal Decomposition for Partial Discharge Denoising
摘要
In order to remove the large amount of white noise mixed in partial discharge (PD) signals, this paper proposes a novel denoising method that combines optimized variational mode decomposition (VMD) and threshold denoising method. In this work, particle swarm optimization algorithm was introduced, based on the principle of minimum envelope entropy, to adaptively solve the difficult selection of VMD parameters, and removes white noise in PD signals through threshold denoising. The results of simulation, actual noise reduction analysis, and comparison with wavelet thresholds show that the proposed method has better noise reduction effect. The improved methods may also be contributed to the denoise of PD under high dv/dt and high frequency voltage.