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Tool wear monitoring of a retrofitted CNC milling machine using artificial neural networks

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In
Manufacturing letters 19, Seiten/Artikel-Nr.:1-4

ImpressumAmsterdam ˜[u.a.]œ : Elsevier

ISSN2213-8463

Received 8 October 2018, Revised 12 November 2018, Accepted 15 November 2018, Available online 16 November 2018

Online
DOI: 10.1016/j.mfglet.2018.11.001


Einrichtungen

  1. Lehrstuhl und Institut für Allgemeine Mechanik (411110)


Thematische Einordnung (Klassifikation)
DDC: 620


Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85056883316
WOS Core Collection: WOS:000645108800001

Interne Identnummern
RWTH-2018-230550
Datensatz-ID: 750306

Beteiligte Länder
Germany

Lizenzstatus der Zeitschrift

 GO


Medline ; SCOPUS

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The record appears in these collections:
Document types > Articles > Journal Articles
Faculty of Mechanical Engineering (Fac.4)
Public records
Publications database
411110

 Record created 2018-11-22, last modified 2025-10-28



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