Implementation of Reduced-Order Model to Design of Electric Powertrain Rubber Mount
Author:
Affiliation:
1. Slovak University of Technology in Bratislava, Faculty of Mechanical Engineering , Institute of Automotive Engineering and Design , Nám. Slobody 17 , Bratislava , Slovakia
Abstract
Publisher
Walter de Gruyter GmbH
Link
https://www.sciendo.com/pdf/10.2478/scjme-2024-0001
Reference8 articles.
1. https://en.wikipedia.org/wiki/Model_order_reduction
2. Zambrano, V.; Brase, M.; Hernández-Gascón, B.; Wangenheim, M.; Gracia, L.A.; Viejo, I.; Izquierdo, S.; Valdés, J.R. “A Digital Twin for Friction Prediction in Dynamic Rubber Applications with Surface Textures”, Lubricants 9 (5), 57, 2021. DOI: 10.3390/lubricants9050057
3. Hornik, K., Stinchcombe, M., White, H. “Multilayer Feedforward Networks are Universal Approximators”, Neural Networks 2 (5), pp. 359 – 366, 1989.
4. Graves, A. “Supervised Sequence Labelling with Recurrent Neural Networks”, Springer Berlin, Heidelberg, 13 April 2014. eISSN 978-3-642-24797-2
5. https://en.wikipedia.org/wiki/Proper_orthogonal_decomposition
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