Journal
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
Volume 45, Issue 3, Pages 241-249Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.ijmachtools.2004.08.016
Keywords
tool breakage detection; multiple sensors; support vector machine
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In this paper, an intelligent tool breakage detection system which uses a support vector machine (SVM) learning algorithm is proposed to provide the ability to recognize process abnormalities and initiate corrective action during a manufacutfing process. Specifically in a milling process. The system utilizes multiple sensors to record cutting forces and power consumptions- Attention is focused on training the proposed system for performance improvement and detecting tool breakage. Performance of the developed system is compared to the results from an alternative detection system based on a multiple linear regression model. It is expected that the proposed system will reduce machine downtime, which in turn will lead to reduced production costs and increased customer satisfaction. (C) 2004 Elsevier Ltd. All rights reserved.
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