| 基于BP神经网络的润滑流量因子系数的预测 |
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| 引用本文： | 孟凡明,张优云.基于BP神经网络的润滑流量因子系数的预测[J].农业机械学报,2003,34(3):103-104,114. |
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| 作者姓名： | 孟凡明 张优云 |
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| 作者单位： | 西安交通大学润滑理论及轴承研究所,710049,西安市 |
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| 基金项目： | 国家自然科学基金资助项目 (项目编号 :5 9990 472 ) |
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| 摘 要： | 因现有润滑方程中的流量因子系数值有限，不能满足摩擦学研究的需要。本文利用BP神经网络，使用L—M规则，对润滑方程中流量因子系数进行了预测。训练时，以微凸体的纵横比v为输入样本,输出样本为压力流量因子的两个系数。结果表明：训练良好的BP网络输出数据与实测数据吻合较好，并具有收敛速度快等特点。
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| 关 键 词： | BP神经网络 润滑 流量因子系数 预测技术 机械学 |
Prediction of Flow Factor Coefficients of Lubrication Based on BP Neural Network |
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| Meng Fanming,Zhang Youyun.Prediction of Flow Factor Coefficients of Lubrication Based on BP Neural Network[J].Transactions of the Chinese Society of Agricultural Machinery,2003,34(3):103-104,114. |
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| Authors: | Meng Fanming Zhang Youyun |
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| Institution: | Xi'an Jiaotong University |
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| Abstract: | A prediction model for flow factor coefficients in a mixed lubrication equation based on the BP neural network was established. Since the values of flow factors are limitted and have brought difficulties in tribology research, the present work intends to use BP neural network to predict these factors. The neural network is successfully trained by the LM rule. In training, input samples are surface pattern parameter v , while the output sample coefficient values of pressure flow factors. The output results of the well trained neural network show a good agreement with the test results. Also, it is found that the neural network can converge quickly and predict other factor coefficient values in the mixed lubrication equation, perhaps as a new method for tribology researches. |
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| Keywords: | Mechanics Lubrication Flow factor coefficients Prediction BP neural network |
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