Assessment of quality predictions achieved with machine learning using established measurement process capability procedures in manufacturing
Author:
Affiliation:
1. Bosch Rexroth AG , Bexbacher Straße 72 , Homburg , Germany
2. Universität des Saarlandes , Lehrstuhl für Fertigungstechnik LFT , Saarbrücken , Germany
3. Universität des Saarlandes , Lehrstuhl für Messtechnik LMT , Saarbrücken , Germany
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Electrical and Electronic Engineering,Instrumentation
Link
https://www.degruyter.com/document/doi/10.1515/teme-2021-0125/pdf
Reference21 articles.
1. A. Schütze, N. Helwig, T. Schneider, “Sensors 4.0 – smart sensors and measurement technology enable Industry 4.0,” J. Sens. Sens. Syst. 7, 2018, 359–371, doi: 10.5194/jsss-7-359-2018.
2. B. Denkena, M. Dittrich, F. Uhlich, “Self-optimizing cutting process using learning process models,” Procedia Technology 26, 2016, 221–226, doi: 10.1016/j.protcy.2016.08.030.
3. D. Weichert, P. Link, A. Stol, S. Rüping, S. Ihlenfeldt, S. Wrobel, “A review of machine learning for the optimization of production processes,” The International Journal of Advanced Manufacturing Technology 104, 2019, 1889–1902, doi: 10.1007/s00170-019-03988-5.
4. L. Wang, X. V. Wang, “Condition Monitoring for Predictive Maintenance,” in: “Cloud-Based Cyber-Physical Systems in Manufacturing,” Springer, Cham, 2017, 163–192, doi: 10.1007/978-3-319-67693-7_7.
5. T. Schneider, S. Klein, A. Schütze, “Machine learning in industrial measurement technology for detection of known and unknown faults of equipment and sensors,” tm – Technisches Messen 86 (11), 2019, 706–718, doi: 10.1515/teme-2019-0086.
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