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| 基于ARM&WinCE的刀具状态在线监测系统 | |
| 引用本文： | 徐全,龚彬,韦新平. 基于ARM&WinCE的刀具状态在线监测系统[J]. 西华大学学报(自然科学版), 2011, 30(4): 58-61 |
| 作者姓名： | 徐全 龚彬 韦新平 |
| 作者单位： | 1. 西华大学应用技术学院,四川成都610039;西南交通大学电气学院,四川成都610031 2. 胜利油田动力机械集团有限公司,山东东营,257000 3. 西华大学机械工程与自动化学院,四川成都,610039 |
| 基金项目： | 四川省教育厅重点项目(07ZA118) |
| 摘 要： | 为了获取高信噪比的刀具状态信号特征,结合嵌入式技术,构建了刀具状态在线监测系统。通过对声发射信号与刀具磨损状态的分析,验证了利用声发射信号进行刀具状态监测的可行性,给出了基于ARM&WinCE平台的刀具状态在线监测系统软硬件解决方案,并完成了数据处理与显示的应用软件设计与调试。 |
| 关 键 词： | 刀具状态 声发射 ARM11 WinCE 在线监测 |
Design of Tool Condition Online Monitoring System Based on ARM&WinCE |
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| XU Quan,GONG Bin,WEI Xin-ping. Design of Tool Condition Online Monitoring System Based on ARM&WinCE[J]. Journal of Xihua University(Natural Science Edition), 2011, 30(4): 58-61 | |
| Authors: | XU Quan GONG Bin WEI Xin-ping |
| Affiliation: | XU Quan1,2,GONG Bin3,WEI Xin-ping4 (1.School of Applied Technology,Xihua University,Chengdu 610039 China,2.School of Electrical Engineering,Southwest Jiaotong University,Chengdu 610031 China,3.Power Machinery Company of Shengli Oil Field,Dongying 257000 China,4.School of Mechanical Engineering and Automation,Chengdu 610039 China) |
| Abstract: | A tool wear online monitoring and recognizing system is established by utilizing acoustic emission signal.The correlation between the acoustic emission signal and tool wear conditions is analyzed,and it is proved that the tool conditions can be detected by using acoustic emission signal.A set of hardware and software solutions based on ARM&WinCE are proposed,and the application software design and debug of the signal processing and display platform are finally completed. |
| Keywords: | tool condition acoustic emission ARM WinCE online monitoring |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |