刀具振动无线检测系统研究OA北大核心CSTPCD

Aiming at the problems that the layout of the sensor device in the existing wireless monitoring system for tool vibration has a large effect on the transformation of the tool holder and the high cost,a kind of wireless detection system of tool vibration used in milling based on the low power consumption and miniaturization of the sensor device is designed by adopting the low-power Bluetooth 5.0,MEMS sensor and Python.Sensing device testing and milling Comparing with the existing similar sensing devices,the system sensing device ensured signal transmission performance,reduced power consumption,and achieved miniaturization;the denoising effect of the present variational model decomposition-dual tree complex wavelet denoising method based on the fusion index is better than other common denoising methods such as wavelet threshold;comparing with the existing wireless system,the designed wireless system used the same convolutional neural networks model to recognize the tool wear status with higher accuracy.The results showed that the designed wireless system was more practical and can effectively retain the characteristics of the vibration signal,provideing a reliable way to obtain vibration data for tool wear status recognition.