There is a close relationship between heat generation rate and the life of the bearing. To decrease the heat generation rate of the bearing

associated parameters of the working bearing were obtained based on pseudo statics analysis and raceway control theory of the bearing

and then

the heat generation rate of the bearing was further acquired. The Kriging model and particle swarm optimization algorithm were proposed for optimizing structure parameters of the bearing to obtain the minimum heat generation rate of the bearing. Taking the NSK-7016A5 bearings as an example

the results show that the total heat generation rate of the bearing and inner and outer rings can be decreased after optimization of bearing structure parameters. The combination method of Kriging model and particle swarm optimization for optimizing bearing structure parameters could obtain satisfactory design results

and increase bearing design efficiency as well.