Anwendung eines künstlichen Neuronalen Netzes zur Verschleißbestimmung von Zerspanwerkzeugen
Author:
Affiliation:
1. Fraunhofer IPA , Stuttgart , Germany
2. infofeld GmbH , Nuremberg , Germany
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering
Link
https://www.degruyter.com/document/doi/10.1515/auto-2021-0053/pdf
Reference18 articles.
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2. Byrne, G., D. Dornfeld, I. Inasaki, G. Ketteler, W. König and R. Teti. 1995. Tool Condition Monitoring (TCM) – the status of research and industrial application. CIRP Annals 44(2): 541–567.
3. Cortes, C. and V. Vapnik. 1995. Support-vector networks. Mach Learn 20(3): 273–297.
4. D’Addona, D.M., D. Matarazzo, A.S. Ullah and R. Teti. 2015. Tool wear control through cognitive paradigms. Procedia CIRP 33: 221–226.
5. D’Addona, D.M. and R. Teti. 2013. Image data processing via neural networks for tool wear prediction. Procedia CIRP 12: 252–257.
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