| 用遗传算法识别转子-轴承系统中的支承刚度 |
| |
| 引用本文： | 金明凡,赵玫.用遗传算法识别转子-轴承系统中的支承刚度[J].机械强度,2002,24(3):327-330. |
| |
| 作者姓名： | 金明凡 赵玫 |
| |
| 作者单位： | 1. 金日成综合大学,数学力学系,平壤,朝鲜民主主义人民共和国;上海交通大学,振动冲击噪声国家重点实验室访问学者,上海,200030
2. 上海交通大学,振动冲击噪声国家重点实验室,上海,200030 |
| |
| 摘 要： | 提出用基因算法识别转子—轴承系统有限元模型中支承刚度的新方法，给出基因算法识别支承刚度的步骤，并通过算例讨论人口数与突变概率对收敛速度与计算时间的影响。研究结果表明，这种方法是基于自然界优胜劣汰规律的随机迭代搜索，不仅可以避免优化过程对待识别参数初值的依赖，而且可以有效地解决优化迭代过程不能用解析式表示的复杂问题。
|
| 关 键 词： | 支承刚度 遗传算法 参数识别 人口数 |
| 修稿时间： | 2001年12月21 |
IDENTIFICATION OF SUPPORT STIFFNESSES IN ROTOR-BEARING SYSTEM USING GENETIC ALGORITHM |
| |
| Myong-Bom Kim.IDENTIFICATION OF SUPPORT STIFFNESSES IN ROTOR-BEARING SYSTEM USING GENETIC ALGORITHM[J].Journal of Mechanical Strength,2002,24(3):327-330. |
| |
| Authors: | Myong-Bom Kim |
| |
| Abstract: | A new method is proposed to identify support stiffnesses in the finite element model of rotor-bearing system by means of Genetic Algorithm (GA). The steps of GA for identification of support stiffnesses are presented. The influence of population number and mutation probability on convergence speed and calculation time is investigated via a numerical example. Owning to the fact that its random iteration process is based on nature selection and natural heredity, GA not only can be used in complicate non-linear optimization process, where the iteration process can not be formulized, but also makes convergence speed independent of the initial stiffness values. |
| |
| Keywords: | Support stiffness Genetic algorithm Parameter identification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
