关键词: 刀具磨损监测, 数据采集, 深度学习, 卷积神经网络, 无线三轴加速度计

Abstract: To monitor the tool wear for machining equipment in manufacturing workshops,deep learning was proposed to realize the tool wear monitoring.As the latest research result in Artificial Intelligence (AI) field,the Convolutional Neural Network (CNN) was adopted to build the model of tool wear monitoring.A flow chart of tool wear monitoring was given,and a micro milling machine and a wireless triaxial accelerometer were used to build the experimental setup to acquire measurement data.The experimental results showed that the proposed approach was simple to realize the tool wear monitoring with higher accuracy and lower loss during the learning process by comparing with other two common models that were deep CNNs and traditional Neural Network (NN),and a classification of tool wear degree was realized.

Key words: tool wear monitoring, data acquisition, deep learning, convolutional neural network, wireless triaxial accelerometer