Smart Tool-Related Faults Monitoring System Using Process Simulation-Based Machine Learning Algorithms

Smart Tool-Related Faults Monitoring System Using Process Simulation-Based Machine Learning Algorithms

In this paper a novel approach for monitoring tool-related faults in milling processes by utilizing process simulation-based machine learning algorithms, specifically Random Forest algorithms, for fault detection is presented. In order to train machine learning models in tool condition monitoring, l...

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Bibliographic Details
Main Authors: Arash Ebrahimi Araghizad, Faraz Tehranizadeh, Kemal Kilic, Erhan Budak
Format: Article
Language:English
Published: Publishing House of Wrocław Board of Scientific Technical Societies Federation NOT 2023-10-01
Series:Journal of Machine Engineering
Subjects:
industry 4.0
machining
machine learning
monitoring
Online Access:http://jmacheng.not.pl/Smart-Tool-Related-Faults-Monitoring-System-Using-Process-Simulation-Based-Machine,174018,0,2.html
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