Detection of interferences in an additive manufacturing process : an experimental study integrating methods of feature selection and machine learning
Year of publication: |
2020
|
---|---|
Authors: | Stanisavljevic, Darko ; Cemernek, David ; Gursch, Heimo ; Urak, Günter ; Lechner, Gernot |
Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 58.2020, 9, p. 2862-2884
|
Subject: | 3D-printer | additive manufacturing | data processing system | feature engineering | interference detection | machine learning | Künstliche Intelligenz | Artificial intelligence | Industrie | Manufacturing industries | Prozessmanagement | Business process management | Experiment | Additive Fertigung | Additive manufacturing | Theorie | Theory |
-
Industry 4.0 : opportunities and challenges for operations management
Olsen, Tava Lennon, (2019)
-
Industry 4.0 : opportunities and challenges for operations management
Olsen, Tava Lennon, (2020)
-
Zhang, Zhibo, (2024)
- More ...
-
The R.U.S.Z.-case: an independent, non-profit reprocessing and repair company
Lechner, Gernot, (2015)
-
The effect of active used product acquisition on manufacturing and remanufacturing strategies
Lechner, Gernot, (2013)
-
Lechner, Gernot, (2015)
- More ...