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.