Kombination unterschiedlicher Modellierungsansätze für die betriebsbegleitende Simulation industrieller Prozesse
Author:
Affiliation:
1. 1671 Siemens AG , Corporate Technology , Otto-Hahn-Ring 6 , München , Deutschland
2. Institut für industrielle Informationstechnik IIIT , Karlsruher Institut für Technologie , Karlsruhe , Germany
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering
Link
https://www.degruyter.com/document/doi/10.1515/auto-2018-0094/pdf
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3. Jie Chen, Yibing Li and Fang Ye, Uncertain information fusion for gearbox fault diagnosis based on BP neural network and DS evidence theory, in: 2016 12th World Congress on Intelligent Control and Automation (WCICA), pp. 1372–1376, IEEE, 2016.
4. M. Giselle Fernández-Godino, Chanyoung Park, Nam-Ho Kim and Raphael T. Haftka, Review of multi-fidelity models.
5. Michael Heizmann and Fernando Puente León, Modellbildung in der Mess- und Automatisierungstechnik, tm – Technisches Messen 83(2) (2015), 63–65.
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