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.
出处
《轴承》
北大核心
2012年第6期3-6,共4页
Bearing
关键词
滑动轴承
推力轴承
人工神经网络
BP算法
优化
sliding bearing
thrust bearing
artificial neural network
BP algorithm
optimization
