【摘要】 滚珠丝杠是数控机床中常见的精密传动部件，在工作过程中的碰撞冲击会影响其使用寿命。首先，通过振动信号监测丝杠副的工作状态，有助于评价丝杠副的运行质量。根据碰撞与动力学分析得到滚珠的特征球通频率公式；其次，提出了基于遗传和粒子群混合优化的变分模态分解方法，通过优化变分模态分解方法中的参数惩罚因子和模态数以寻求最优解；最后，通过支持向量机方法对滚珠丝杠副正常与故障的振动信号进行分类预测。结果显示，基于遗传粒子群共同优化的变分模态分解方法在对振动信号球通频率的提取中，分解得到的信号分量更清，具有较大优势。更多还原

【Abstract】 Ball screw is a common precision transmission component in CNC machine tools, and the impact in the working process will affect its service life.Monitoring the working state of the lead screw by vibration signal is helpful to evaluate the running quality of the lead screw.According to the collision and dynamics analysis, the characteristic ball pass frequency formula of the ball is obtained, and then a variational mode decomposition method based on hybrid optimization of genetic and particle swarm is proposed.Finally, the normal and fault vibration signals of ball screw are classified and predicted by support vector machine method.The results show that the variational mode decomposition method based on genetic particle swarm co-optimization has a greater advantage in the extraction of the spherical frequency of vibration signals.更多还原