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Dokumenttyp:
Konferenzbeitrag 
Autor(en):
Kirchen, Iris; Vogel-Heuser, Birgit; Hildenbrand, Philipp; Schulte, Robert; Lechner, Michael; Vogel, Manfred; Merklein, Marion 
Titel:
Data-driven Model Development for Quality Prediction in Forming Technology 
Abstract:
In this investigation data recorded from a flexible rolling process is processed by data driven methods to develop a quality prediction model for manufactured blanks. A concept for a incremental prediction method is proposed, which takes into account the specific character of the discrete manufacturing process. The method is evaluated based on a data set of process and quality data provided by a test rig. By the example of a specific quality parameter the effectiveness of the proposed method is...    »
 
Kongress- / Buchtitel:
15th IEEE International Conference on Industrial Informatics (INDIN) 
Verlagsort:
Emden, Germany 
Jahr:
2017 
Nachgewiesen in:
Scopus; Web of Science 
Reviewed:
ja