Detecting Changeover Events on Manufacturing Machines with Machine Learning and NC data
Author:
Affiliation:
1. Institute of Digital Engineering (IDEE), Technical University of Applied Sciences Würzburg-Schweinfurt, Schweinfurt, Germany
Funder
Bayerisches Staatsministerium für Wirtschaft, Landesentwicklung und Energie
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2381317
Reference59 articles.
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2. Akosa, J. 2017. Predictive accuracy: A misleading performance measure for highly imbalanced data. Proceedings of the SAS Global Forum 12:1–4. Cary, NC, USA: SAS Institute Inc.
3. Predictive maintenance system for production lines in manufacturing: A machine learning approach using IoT data in real-time
4. A comparative analysis of gradient boosting algorithms
5. Assessing the Influence of Sensor-Induced Noise on Machine-Learning-Based Changeover Detection in CNC Machines
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