102174 20240614091132.0 doi 10.1007/s42452-021-04310-3 sideral 124127 ART-2021-124127 eng Sancarlos, A. A novel sparse reduced order formulation for modeling electromagnetic forces in electric motors 2021 Access copy available to the general public Unrestricted A novel model order reduction (MOR) technique is presented to achieve fast and real-time predictions as well as high-dimensional parametric solutions for the electromagnetic force which will help the design, analysis of performance and implementation of electric machines concerning industrial applications such as the noise, vibration, and harshness in electric motors. The approach allows to avoid the long-time simulations needed to analyze the electric machine at different operation points. In addition, it facilitates the computation and coupling of the motor model in other physical subsystems. Specifically, we propose a novel formulation of the sparse proper generalized decomposition procedure, combining it with a reduced basis approach, which is used to fit correctly the reduced order model with the numerical simulations as well as to obtain a further data compression. This technique can be applied to construct a regression model from high-dimensional data. These data can come, for example, from finite element simulations. As will be shown, an excellent agreement between the results of the proposed approach and the finite element method models are observed. info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 0.342 2021 Chemical Engineering (miscellaneous) 2021 Q2 Engineering (miscellaneous) 2021 Q2 Physics and Astronomy (miscellaneous) 2021 Q2 Materials Science (miscellaneous) 2021 Q2 Environmental Science (miscellaneous) 2021 Q2 2.7 2021 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Cueto, E. Universidad de Zaragoza (orcid)0000-0003-1017-4381 Chinesta, F. Duval, J.L. 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 3, 3 (2021), 355 [19 pp] SN Applied Sciences 2523-3963 4993449 http://zaguan.unizar.es/record/102174/files/texto_completo.pdf Versión publicada 2570760 http://zaguan.unizar.es/record/102174/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:102174 articulos driver 2024-06-14-09:08:11 ARTICLE