| 基于BP神经网络技术的刀具状态监控系统 |
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| 引用本文： | 邵建中.基于BP神经网络技术的刀具状态监控系统[J].机械制造与自动化,2010,39(1):81-82,152. |
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| 作者姓名： | 邵建中 |
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| 作者单位： | 南昌凯马有限公司,江西,南昌,330101 |
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| 摘 要： | 利用BP(back propagation)神经网络建立刀具检测系统的模型,通过BP神经网络来实现对于车间刀具的运行状态的控制。通过这个检测系统,实时反馈车间加工过程中刀具的即时信息,为企业的自动化和信息化的发展带来了促进的作用,进一步提高效率,减少了因为刀具磨损而带来的经济损失,具有一定的现实意义。
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| 关 键 词： | 自动化 刀具磨损 BP神经网络 |
Tool State Monitoring System Based on BP Neural Network |
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| SHAO Jian-zhong.Tool State Monitoring System Based on BP Neural Network[J].Machine Building & Automation,2010,39(1):81-82,152. |
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| Authors: | SHAO Jian-zhong |
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| Affiliation: | SHAO Jian-zhong(Nanchang Kama Co.,Ltd.,Nanchang 330101,China) |
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| Abstract: | This paper introduces using BP(Back Propagation) neural network to establish a model of tool detection system.Through this testing system,real-time feedback of the instant messaging of tool in the workshop is obtained so that it reduces tool wear and further improves the economic efficiency. |
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| Keywords: | automatic tool wear BP neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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