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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
  • *Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionResearch

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.

Original languageEnglish
Title of host publicationPCIM Europe digital days 2020
Subtitle of host publicationInternational Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
PublisherVDE Verlag GmbH
Pages1208-1216
Number of pages9
ISBN (Print)9783800752454
Publication statusPublished - 26 Aug 2020
EventInternational Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2020 - Virtual, Online
Duration: 7 Jul 20208 Jul 2020

Publication series

NamePCIM Europe Conference Proceedings
Volume1
ISSN (Electronic)2191-3358

Conference

ConferenceInternational Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2020
CityVirtual, Online
Period7 Jul 20208 Jul 2020

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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