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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| 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: | |
| 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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