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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Vydané v:	Procedia engineering Ročník 69; s. 1326 - 1335
Hlavní autori:	Klaic, Miho, Staroveski, Tomislav, Udiljak, Toma
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 2014
Predmet:	machine learning stone drilling tool condition monitoring tool wear tool wear stone drilling machine learning tool condition monitoring
ISSN:	1877-7058, 1877-7058
On-line prístup:	Získať plný text
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