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 vibra-tion signal is helpful to evaluate the running quality of the lead screw.According to the collision and dy-namics 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.Final-ly,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.
维普
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