Wear Rate Prediction Method of Tool Based on Learning

摘要

The learning-based tool wear prediction method according to the present invention comprises the steps of (a) acquiring a plurality of monitoring data from a machining machine through a plurality of tool wear experiments, and a dataset including cutting data related to cutting force from the monitoring data. (b) of extracting, (c) of performing data labeling on the basis of wear on the tool mounted on the processing machine, and adding the wear data of the tool to the dataset; (d) converting the data of the conversion data into a preset conversion data form and (e) predicting the wear level of the tool by modeling the conversion data through arbitrarily selected software.