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Machine learning for grey box modelling of electrical components for circuit- and emc-simulation

  • Jan Philipp Roche*
  • , Jens Friebe
  • , Oliver Niggemann
  • *Korrespondierende*r Autor*in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschung

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.

OriginalspracheEnglisch
Titel des SammelwerksPCIM Europe digital days 2020
UntertitelInternational Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
Herausgeber (Verlag)VDE Verlag GmbH
Seiten1208-1216
Seitenumfang9
ISBN (Print)9783800752454
PublikationsstatusVeröffentlicht - 26 Aug. 2020
VeranstaltungInternational Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2020 - Virtual, Online
Dauer: 7 Juli 20208 Juli 2020

Publikationsreihe

NamePCIM Europe Conference Proceedings
Band1
ISSN (elektronisch)2191-3358

Konferenz

KonferenzInternational Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2020
OrtVirtual, Online
Zeitraum7 Juli 20208 Juli 2020

ASJC Scopus Sachgebiete

  • Elektrotechnik und Elektronik

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