Monitoring Rotating Tool Wear Using Higher-Order Spectral Features

[+] Author and Article Information
R. W. Barker, G. Klutke

Department of Mechanical Engineering, University of Texas at Austin, Austin, TX 78712

M. J. Hinich

Applied Research Laboratories, P.O. Box 8029, Austin, TX 78713-8029

J. Eng. Ind 115(1), 23-29 (Feb 01, 1993) (7 pages) doi:10.1115/1.2901634 History: Received June 01, 1991; Revised March 01, 1992; Online April 08, 2008


A framework for detecting incipient wear in rotating machinery is proposed. In this paper, statistical techniques that combine power spectrum estimates with higher-order spectrum (HOS) estimates for feature development are applied to discriminate and classify vibration signals from new and slightly used drill bits in a drill wear study. Results from experimental data obtained when drilling composite circuit cards reveal that the performance of a power spectrum-based tool wear monitoring system can be enhanced by complementing the power spectrum information with HOS information on the accelerometer signal. Evidence presented supports the proposition that a HOS approach provides better signal features to a pattern classifier which allows better decisions on the state of rotating tool wear.

Copyright © 1993 by The American Society of Mechanical Engineers
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