基于神经网络的液体动压润滑固定瓦推力轴承优化设计  

Optimal Design of Fluid Hydrodynamic Lubrication Fixed Pad Thrust Bearings Based on Neural Network

作　　者：高朝祥 王充[1] 任小鸿 周文[1] 

机构地区：[1]四川化工职业技术学院,四川泸州646005

出　　处：《轴承》2012年第6期3-6,共4页Bearing

摘　　要：建立了液体动压润滑固定瓦推力轴承的优化数学模型,并利用人工神经网络和BP算法对其优化设计,算例结果表明,此优化设计优于经验设计,是一种有效的液体动压润滑固定瓦推力轴承优化方法。The optimal mathematical model is established for fluid hydrodynamic lubrication fixed pad thrust bearings, and the design optimization is carried out by using artificial neural network and BP algorithm. The result shows that this method is superior to the experiential one and is effective optimal method for liquid hydrodynamic lubrication fixed pad thrust bearings.

关 键 词：滑动轴承 推力轴承 人工神经网络 BP算法 优化 

分 类 号：TH133.31[机械工程—机械制造及自动化]