Adaptive process control in rubber industry

  • This paper describes the problems and an adaptive solution for process control in rubber industry. We show that the human and economical benefits of an adaptive solution for the approximation of process parameters are very attractive. The modeling of the industrial problem is done by the means of artificial neural networks. For the example of the extrusion of a rubber profile in tire production our method shows good results even using only a few training samples.

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Metadaten
Author:Rüdiger W. BrauseGND, Ulf Pietruschka
URN:urn:nbn:de:hebis:30-79118
Document Type:Preprint
Language:English
Date of Publication (online):2010/09/08
Year of first Publication:1998
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2010/09/08
Note:
Preprint, später in: International Journal of Occupational Safety and Ergonomics, JOSE, 4.1998, S. 253-269
Source:International Journal of Occupational Safety and Ergonomics, JOSE, 4, 1998, pp. 253-269
HeBIS-PPN:227688449
Institutes:Informatik und Mathematik / Informatik
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Sammlungen:Universitätspublikationen
Licence (German):License LogoDeutsches Urheberrecht

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