Abstract: Mine high-voltage cables play a crucial role in the power supply system of coal mines. The stable operation of mine high-voltage cables directly affects the normal operation of all underground electrical equipment in the coal mine. The insulation level of mine cables is the main influencing factor. During the long-term continuous operation of the cables, due to environmental and electrical factors, their insulation performance gradually deteriorates until insulation breakdown occurs, posing a threat to the safe production of coal mines. Partial discharge (PD) is one of the main means to monitor the insulation status of mine high-voltage cables. However, the monitoring of PD signals at the coal mine site is easily interfered by noise. To address this issue, this study proposes a Rime-ice Optimization Algorithm (RIME) to perform denoising processing on PD signals by optimizing the variational mode decomposition (VMD) combined with the singular value decomposition (SVD) method. Firstly, the VMD is optimized by the rime-ice optimization algorithm (RIME), and the optimal parameters (K, α) are obtained through the minimum envelope entropy (Min-EE). Then, the intrinsic mode function (IMF) components are obtained through VMD. The nature of the IMF is determined by using the fuzzy dispersion entropy (FuzzyDispEn), so as to distinguish the effective signal components and the noise components. The noise-dominated components after classification are denoised by the SVD method, while the effective signal components are retained. Finally, the noise-dominated signal components denoised by SVD and the effective signal components are reconstructed to complete the denoising process. Comparison denoising experiments are carried out with similar algorithms, such as the butterfly optimization algorithm (BOA) and the grey wolf optimizer (GWO). Through simulation experiments and on-site partial discharge experiments, the denoising effect diagrams are compared, and the signal-to-noise ratio (SNR), normalized cross-correlation coefficient (NCC), and root mean square error (RMSE) of the denoised signals are calculated. These are used to judge the advantages and disadvantages of the denoising effects of the three methods, namely RIME-VMD-SVD, GWO-VMD-SVD, and BOA-VMD-SVD. This proves the effectiveness of the method proposed in this paper in denoising noisy PD signals. It can remove the noise components in the PD signals of mine high-voltage cables, which has practical significance for ensuring the safe and stable operation of the power supply system in coal mines.