Denoising research of shearer picks load signal based on MPE-VMD algorithm

For the problem of noise in the load acquisition signal of shearer picks, which will affect the extraction and analysis of critical features of the load signal, a denoising algorithm based on MPE-VMD is proposed in this paper. The Blocks, Bumps, and Doppler signals containing noise are selected as the test signals according to the characteristics of the shearer picks load signals. The test signal is denoised using the method of this paper, the VMD algorithm, the WT algorithm, and the EMD algorithm, respectively. The comparison results show that the MPE-VMD algorithm proposed in this paper has the best denoising effect, followed by WT, then VMD, and EMD has the worst denoising effect. Finally, the method in this paper is applied to the denoising of the acquired picks load signals, and good results are achieved.