Machine Cutting Tool Condition Monitoring System of Aeroplane Material Processing Based on Cellular Neural Networks

摘要：

Because that the rupture and wear of the machine cutting tool of the aeroplane material processing is difficult to be found and monitored, in this paper a monitoring system of machine cutting tool wear condition is designed. The system uses a CCD camera to shoot the image of the cutting tooL Base on the cellular neural networks algorithm, the image is processed and compared with the normal image in order to identify the condition of the cutting tool. The experimental results show that the system is rational and effective.

关键词： aeroplane material cutting tool condition monitoring cellular neural networks

作者: Xiaolin Liu Kun Yuan

作者单位: College of Aeronautical Automation Civil Aviation University of China TianJin, China The 95927th department of PLA Theoretical training center Cangzhou, China

会议类型: 国际会议

会议名称: 2012 International Conference on Measurement,Information and Control(2012测量、信息与控制国际会议 ICMIC2012)

会议地点: 哈尔滨

会议语种:英文

页码: 1054-1057

在线出版日期: 2012-05-18（万方平台首次上网日期，不代表论文的发表时间）