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2007 1

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L唱M算法 1

人工神经网络 1

优化算法 1

短期负荷预测 1

贝叶斯正则化算法 1

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Dynamic modeling of hydrostatic guideway considering compressibility and inertia effect

Yikang DU,Kuanmin MAO,Yaming ZHU,Fengyun WANG,Xiaobo MAO,Bin LI

《机械工程前沿(英文)》 2015年 第10卷 第1期   页码 78-88 doi: 10.1007/s11465-015-0331-4

摘要:

Hydrostatic guideways are used as an alternative to contact bearings due to high stiffness and high damping in heavy machine tools. To improve the dynamic characteristic of bearing structure, the dynamic modeling of the hydrostatic guidway should be accurately known. This paper presents a “mass-spring-Maxwell” model considering the effects of inertia, squeeze, compressibility and static bearing. To determine the dynamic model coefficients, numerical simulation of different cases between displacement and dynamic force of oil film are performed with fluent code. Simulation results show that hydrostatic guidway can be taken as a linear system when it is subjected to a small oscillation amplitude. Based on a dynamic model and numerical simulation, every dynamic model’s parameters are calculated by the Levenberg-Marquardt algorithm. Identification results show that “mass-spring-damper” model is the most appropriate dynamic model of the hydrostatic guidway. This paper provides a reference and preparation for the analysis of the dynamic model of the similar hydrostatic bearings.

关键词: hydrostatic guidway     dynamic model     dynamic mesh technique     Levenberg-Marquardt     mass-spring-damper model    

应用神经网络进行短期负荷预测

罗枚

《中国工程科学》 2007年 第9卷 第5期   页码 77-80

摘要: 针对传统的BP算法具有训练速度慢,易陷入局部 最小点的缺点,采用具有较快收敛速度及稳定性的L-M(Levenberg-Marquardt)优化算法进行预测,使平均相对误 差有了很大改善,而采用贝叶斯正则化算法可以解决网络过度拟合

关键词: 短期负荷预测     人工神经网络     L唱M算法     贝叶斯正则化算法     优化算法    

标题 作者 时间 类型 操作

Dynamic modeling of hydrostatic guideway considering compressibility and inertia effect

Yikang DU,Kuanmin MAO,Yaming ZHU,Fengyun WANG,Xiaobo MAO,Bin LI

期刊论文

应用神经网络进行短期负荷预测

罗枚

期刊论文