Tool Wear Classification Using Decision Treesin Stone Drilling Applications: A Preliminary Study

Process parameters of stone drilling with a small diameter twist drill were used to predict tool wear by means of a machine learning decision tree algorithm. The model links tool wear with features extracted from the force sensor and the main and feed drive current sensors signals recorded under dif...

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Veröffentlicht in:	Procedia engineering Jg. 69; S. 1326 - 1335
Hauptverfasser:	Klaic, Miho, Staroveski, Tomislav, Udiljak, Toma
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 2014
Schlagworte:	machine learning stone drilling tool condition monitoring tool wear tool wear stone drilling machine learning tool condition monitoring
ISSN:	1877-7058, 1877-7058
Online-Zugang:	Volltext
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