摘要
以轴承-弹性Jeffcott转子系统为研究对象,以三油楔固定瓦滑动轴承作为系统的支承元件,采用改进的遗传算法,分别研究了基于轴承和基于轴承-转子系统的轴承参数优化,并对两者的优化结果进行了比较。结果表明:两者优化结果差别较大,实际应用中,应综合考虑轴承-转子系统进行优化。
Bearing - elastic Jeffcott rotor system was taken as the research subject which supported by three - lobe journal bearing. The optimization of bearing parameters was studied beth based on bearing and based on bearing - rotor system using improved Genetic Algorithm respectively and the optimizing results are compared. The results show that beth of bearing parameters optimizing results are different, and the optimizing should be carried out by considering bearing - rotor system comprehensively in practical use.
出处
《轴承》
北大核心
2008年第7期11-14,共4页
Bearing
关键词
滑动轴承
轴承-转子系统
多目标优化
遗传算法
journal bearing
bearing- rotor system
multi- objective optimization
Genetic Algorithm