Monitoring Drilling Wear States by a Fuzzy Pattern Recognition Technique

[+] Author and Article Information
P. G. Li

Department of Mechanical Engineering, Central China Institute of Technology, WuHan, China

S. M. Wu

Department of Mechanical Engineering and Applied Mechanics, The University of Michigan, Ann Arbor, MI 48109

J. Eng. Ind 110(3), 297-300 (Aug 01, 1988) (4 pages) doi:10.1115/1.3187884 History: Received February 23, 1987; Online July 30, 2009


This paper introduces a new approach for on-line monitoring of drill wear states by using a fuzzy C-means algorithm. Experimental and simulation results have shown that drill wear conditions can be represented by four fuzzy grades. They are: “initial,” “small,” “normal,” and “severe.” The grade “severe” is proposed to be used as the prediction of tool replacement. This fuzzy technique is more adequate than conventional pattern recognition technqiues.

Copyright © 1988 by ASME
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