User: Guest  Login
Title:

Data-driven Model Development for Quality Prediction in Forming Technology

Document type:
Konferenzbeitrag
Author(s):
Kirchen, Iris; Vogel-Heuser, Birgit; Hildenbrand, Philipp; Schulte, Robert; Lechner, Michael; Vogel, Manfred; Merklein, Marion
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...     »
Book / Congress title:
15th IEEE International Conference on Industrial Informatics (INDIN)
Publisher address:
Emden, Germany
Year:
2017
Covered by:
Scopus; Web of Science
Reviewed:
ja
Fulltext / DOI:
doi:10.1109/INDIN.2017.8104871
 BibTeX