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《JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY》 2000-03
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A Method of On-Line Monitoring Tool Wear Based on Fuzzy Classification

CHEN Ai di, WANG Xin yi, WANG Zhong min, YANG Da yong, JIA Yu ping (School of Mechanical Engineering and Automation, Beijing Institute of Technology, Beijing100081)  
Fuzzy classification was used to monitor and predict tool wear. To overcome the defect of monitoring tool wear using NN, based on choosing suitable standard fuzzy classification samples, fuzzy classifying scheme and proper reasoning were used to monitor and predict the value fo cutting tool's flank wear. It was proved by cutting experiments that the method is strong robust and analyzable. Based on the choice of suitable standard fuzzy classification samples, the fuzzy classification method can correctly monitor and predict the cutting tool's wear.
【CateGory Index】: TP277
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