Research on Noise Reduction Performance of Microphone Array in Micro Milling Tool Wear Monitoring System
In the cutting process,the tool condition monitoring system based on cutting sound signals is prone to interference from background noise.To ensure the stability of the monitoring system,a method of using microphone arrays and Wiener filtering to suppress interference noise is proposed.During the experimental process,a micro milling cutter with a diameter of 700 μm was used to cut SK4 high carbon steel workpiece,and an artificial noise source was provided during the cutting process.Then,a microphone array was used to obtain the sound signal during cutting.Filter the obtained sound signal by combining a microphone array with a Wiener filter.The results show that the combination of microphone array and Wiener filtering can effectively improve the impact of noise on the micro tool wear monitoring system.In addition,analyzing the impact of microphone array arrangement on the performance of tool wear recognition,the results show that the circular array microphone array system can more effectively remove noise than the linear array microphone array system.By selecting appropriate feature values within a certain frequency band width,the tool wear recognition rate can reach 100%.
NETL
NSTL
万方数据
维普
