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Tool breakage diagnosis in face milling by support vector machine

✍ Scribed by Yao-Wen Hsueh; Chan-Yun Yang


Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
757 KB
Volume
209
Category
Article
ISSN
0924-0136

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✦ Synopsis


This paper introduces a new diagnosis technique for tool breakage in face milling using a support vector machine (SVM). The features of spindle displacement signals are first fed into the kernel-based SVM decision function. After the SVM learning procedure, the SVM can respond in real-time to automatically diagnose tool fracture under varying cutting conditions. Experimental results show that this new approach can detect tool breakage in a wide range of face-milling operations.