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| 微细钻孔的模糊神经网络在线监测 | |
| 引用本文： | 杨兆军,李雪,韩愈,崔亚新,丁驰原.微细钻孔的模糊神经网络在线监测[J].吉林大学学报(工学版),2007,37(6):1336-1340. |
| 作者姓名： | 杨兆军 李雪 韩愈 崔亚新 丁驰原 |
| 作者单位： | 1. 吉林大学,机械科学与工程学院,长春,130022 2. 吉林工程技术师范学院,机电工程学院,长春,130052 3. 北京理工大学,宇航科学技术学院,北京,100081 |
| 摘 要： | 建立了以压电钻削测力仪作为测量元件的微孔钻削力在线监测系统,构造了用于对微孔钻削力进行实时数据处理的4层模糊神经网络。网络经训练后用于实时获取隐含微细钻头磨损状态信息的钻削力值,对微孔钻削过程进行在线监测实验,结果表明,适当选择监测阈值,可以有效避免微细钻头的折断。 |
| 关 键 词： | 机械制造自动化 微孔钻削 模糊神经网络 实时监测 压电元件 |
| 文章编号： | 1671-5497（2007）06-1336-05 |
| 收稿时间： | 2007-04-26 |
| 修稿时间： | 2007年4月26日 |
On-line fuzzy neural network monitoring for micro hole drilling |
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| Yang Zhao-jun,Li Xue,Han Yu,Cui Ya-xin,Ding Chi-yuan.On-line fuzzy neural network monitoring for micro hole drilling[J].Journal of Jilin University:Eng and Technol Ed,2007,37(6):1336-1340. | |
| Authors: | Yang Zhao-jun Li Xue Han Yu Cui Ya-xin Ding Chi-yuan |
| Affiliation: | 1. College of Mechanical Science and Engineering, Jilin University, Changchun 130022, China; 2. College of Machinery and Electricity Engineering, Jilin Teacher Institute of Engineering and Technology, Changchun 130052, China; 3. School of Aer Space Science and Engineering, Beijing Institute of Technology, Beijing 100081 ,China |
| Abstract: | An on-line micro hole drilling monitoring system with a piezoelectric element to measure the drilling thrust was built.A four-layor fuzzy neural network(FNN) was established for processing the real-time thrust data of the micro hole drilling.After drilling,the FNN was used to acquise the real-time thrust values which implicate the wear state information of the micro drill.The on-line tests to monitor the nicro hole drilling processes were performed with the established FNN,and the results showed that the drill break may be avoided if the monitoring threshold was selected properly. |
| Keywords: | mechanical manufacture and automation micro hole drilling fuzzy neural network real-time monitoring piezoelectric element |
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