Quality Prediction of Reamed Bores Based on Process Data and Machine Learning Algorithm: A Contribution to a More Sustainable Manufacturing
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering
Reference17 articles.
1. Function-Oriented Quality Control Strategies for High Precision Products;Wagner;Procedia CIRP,2018
2. An approach to monitoring quality in manufacturing using supervised machine learning on product state data;Wuest;Journal of Intelligent Manufacturing,2014
3. Establishing Greener Products and Manufacturing Processes;Linke;International Journal of Precision Engineering and Manufacturing,2012
4. Neural models for predicting hole diameters in drilling processes;Neto;Procedia CIRP,2013
5. Advanced monitoring of machining operations;Teti;CIRP Annals – Manufacturing Technology,2010
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