Intelligent vision based wear forecasting on surfaces of machine tool elements
Abstract To realize autonomous production machines it is necessary that machines are able to automatically and autonomously predict their condition. Although many classical as well as Deep Learning based approaches have shown the ability to classify faults, so far there are no approaches that go bey...
Enregistré dans:
Auteurs principaux: | Tobias Schlagenhauf, Niklas Burghardt |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Springer
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/b66834143ba94587937f4fc8caaa4e52 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Application of Neural Network in Simple Tool Wear Monitoring and Indentification System in MDF Milling
par: Marcin Zbieć
Publié: (2011) -
Tool-Workpiece Interaction in the Cutting Process and Its Use
par: Karol Vasilko, et autres
Publié: (2021) -
Industrial machine tool component surface defect dataset
par: Tobias Schlagenhauf, et autres
Publié: (2021) -
Transfer of Process References between Machine Tools for Online Tool Condition Monitoring
par: Berend Denkena, et autres
Publié: (2021) -
La fabricación de maquinarias y equipos industriales en América Latina. 2. Las máquinas-herramientas en el Brasil = The machine-tools industry in Brazil: background material for the programming of its development
Publié: (2014)