变分模态分解在信号分解精度和噪声鲁棒性方面具有明显优势，但需预先确定模态数K，而目前K 只能靠先验知识进行预估，如果预估的K 与实际信号存在差异，会导致分解误差较大。针对以上问题，利用EMD 不需预先设定模态数的自适应分解特点，通过对EMD 分解结果的分析，进行VMD 分解模态数的估计，并通过仿真信号分析及滚动轴承故障信息提取-Variational modal decomposition has obvious advantages in signal decomposition accuracy and noise robustness, but it is necessary to determine the modal number K in advance. At present, K can only be predicted by a priori knowledge. If the estimated K exists with the actual signal Differences, will lead to greater decomposition error. In order to solve the above problems, EMD is used to analyze the decomposition results of EMD without pre-setting the adaptive decomposition of modal number. The estimation of VMD decomposition mode is carried out and analyzed by simulation signal and rolling bearing fault information extraction