| 基于BP神经网络的轴承套圈磨削误差的预报 |
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| 引用本文： | 刘海,任小中,张洛平,张波.基于BP神经网络的轴承套圈磨削误差的预报[J].河南科技大学学报(自然科学版),2006,27(2):13-15. |
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| 作者姓名： | 刘海 任小中 张洛平 张波 |
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| 作者单位： | 河南科技大学,机电工程学院,河南,洛阳,471003 |
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| 基金项目： | 河南科技大学科研基金项目(2003QN04) |
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| 摘 要： | 提出一种基于BP(反向传播)神经网络磨削误差的预报方法,针对轴承套圈磨削误差序列的非线性特点,使用BP神经网络对其进行建模预测,为磨削自动线的监控调整提供准确的预报值,从而可有效地修正磨削过程中温度、变形及其他复杂因素对工件加工精度的影响,提高加工精度,降低轴承套圈磨削的尺寸分散度。
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| 关 键 词： | BP神经网络 轴承套圈 磨削 误差预测 |
| 文章编号： | 1672-6871（2006）02-0013-03 |
| 收稿时间： | 2005-11-01 |
| 修稿时间： | 2005年11月1日 |
Prediction on Grinding Error of Inner-Bore of Bearing Ring Based on BP Neural Network |
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| LIU Hai,REN Xiao-Zhong,ZHANG Luo-Ping,ZHANG Bo.Prediction on Grinding Error of Inner-Bore of Bearing Ring Based on BP Neural Network[J].Journal of Henan University of Science & Technology:Natural Science,2006,27(2):13-15. |
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| Authors: | LIU Hai REN Xiao-Zhong ZHANG Luo-Ping ZHANG Bo |
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| Abstract: | Based on the nonlinear feature of the grinding error sequence of bearing rings, a method of predicting grinding error based on BP neural network is proposed. By means of BP neural network, it models and predicts the grinding process,provides precise predicting values for the supervision and adjustment of grinding automatic lines, thus weakening the influence of complex factors such as heat and distortion on manufacturing precision of work-piece , and decreasing size deviation. |
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| Keywords: | BP neural network Bearing ring Grinding Error prediction |
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