高速球轴承非线性方程组的变尺度微粒群算法及应用  

Variable Scale Particle Swarm Optimization Algorithm and Application of Nonlinear Equations for High-Speed Ball Bearings

作　　者：孙北奇[1] 于晓凯[1] 杨虎[1] 徐俊[1] 屈驰飞[1] 

机构地区：[1]洛阳轴研科技股份有限公司,河南洛阳471039

出　　处：《轴承》2013年第6期19-22,共4页Bearing

摘　　要：结合变尺度法和微粒群算法的优点,提出了一种用于解决根差异大的非线性方程组的变尺度微粒群算法。将该方法用于典型方程和高度耦合的多参数球轴承高速特性的计算,结果证明了该算法的有效性和高可靠性。A kind of variable scale particle swarm optimization algorithm is put forward to solve nonlinear equations with significant difference of roots by combining the advantages of variable scale method and particle swarm optimization al- gorithm. The method is applied to calculation of typical equations and high - speed characteristics of ball bearings with highly coupled multiple parameters. The result shows that the effectiveness and high reliability of the algorithm.

关 键 词：滚动轴承 非线性方程组 变尺度 微粒群算法 

分 类 号：TH133.33[机械工程—机械制造及自动化] O242.23[理学—计算数学]