Details
Originalsprache | Englisch |
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Titel des Sammelwerks | PCIM Europe digital days 2020 |
Untertitel | International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management |
Herausgeber (Verlag) | VDE Verlag GmbH |
Seiten | 1208-1216 |
Seitenumfang | 9 |
ISBN (Print) | 9783800752454 |
Publikationsstatus | Veröffentlicht - 26 Aug. 2020 |
Veranstaltung | International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2020 - Virtual, Online Dauer: 7 Juli 2020 → 8 Juli 2020 |
Publikationsreihe
Name | PCIM Europe Conference Proceedings |
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Band | 1 |
ISSN (elektronisch) | 2191-3358 |
Abstract
Models of electrical components are needed for the simulation of electrical circuits. Typically a function based on currents and voltages is the main result of these simulations. Based on the currents and voltages, the EMC can be evaluated and improved systematically. Unfortunately, sufficient simulation models are often not available, especially when it comes to EMC behavior. Grey box learning is a promising approach to fill this gap. The development of a modelling concept is the focus of this paper.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
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PCIM Europe digital days 2020: International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management. VDE Verlag GmbH, 2020. S. 1208-1216 (PCIM Europe Conference Proceedings; Band 1).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung
}
TY - GEN
T1 - Machine learning for grey box modelling of electrical components for circuit- and emc-simulation
AU - Roche, Jan Philipp
AU - Friebe, Jens
AU - Niggemann, Oliver
PY - 2020/8/26
Y1 - 2020/8/26
N2 - Models of electrical components are needed for the simulation of electrical circuits. Typically a function based on currents and voltages is the main result of these simulations. Based on the currents and voltages, the EMC can be evaluated and improved systematically. Unfortunately, sufficient simulation models are often not available, especially when it comes to EMC behavior. Grey box learning is a promising approach to fill this gap. The development of a modelling concept is the focus of this paper.
AB - Models of electrical components are needed for the simulation of electrical circuits. Typically a function based on currents and voltages is the main result of these simulations. Based on the currents and voltages, the EMC can be evaluated and improved systematically. Unfortunately, sufficient simulation models are often not available, especially when it comes to EMC behavior. Grey box learning is a promising approach to fill this gap. The development of a modelling concept is the focus of this paper.
UR - http://www.scopus.com/inward/record.url?scp=85089670439&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85089670439
SN - 9783800752454
T3 - PCIM Europe Conference Proceedings
SP - 1208
EP - 1216
BT - PCIM Europe digital days 2020
PB - VDE Verlag GmbH
T2 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2020
Y2 - 7 July 2020 through 8 July 2020
ER -