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

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

Authors

  • Jan Philipp Roche
  • Jens Friebe
  • Oliver Niggemann

External Research Organisations

  • KEB Automation KG
  • Helmut Schmidt University

Details

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

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 subject areas

Cite this

Machine learning for grey box modelling of electrical components for circuit- and emc-simulation. / Roche, Jan Philipp; Friebe, Jens; Niggemann, Oliver.
PCIM Europe digital days 2020: International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management. VDE Verlag GmbH, 2020. p. 1208-1216 (PCIM Europe Conference Proceedings; Vol. 1).

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

Roche, JP, Friebe, J & Niggemann, O 2020, Machine learning for grey box modelling of electrical components for circuit- and emc-simulation. in PCIM Europe digital days 2020: International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management. PCIM Europe Conference Proceedings, vol. 1, VDE Verlag GmbH, pp. 1208-1216, International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2020, Virtual, Online, 7 Jul 2020. <https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9178149>
Roche, J. P., Friebe, J., & Niggemann, O. (2020). Machine learning for grey box modelling of electrical components for circuit- and emc-simulation. In PCIM Europe digital days 2020: International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management (pp. 1208-1216). (PCIM Europe Conference Proceedings; Vol. 1). VDE Verlag GmbH. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9178149
Roche JP, Friebe J, Niggemann O. Machine learning for grey box modelling of electrical components for circuit- and emc-simulation. In PCIM Europe digital days 2020: International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management. VDE Verlag GmbH. 2020. p. 1208-1216. (PCIM Europe Conference Proceedings).
Roche, Jan Philipp ; Friebe, Jens ; Niggemann, Oliver. / Machine learning for grey box modelling of electrical components for circuit- and emc-simulation. PCIM Europe digital days 2020: International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management. VDE Verlag GmbH, 2020. pp. 1208-1216 (PCIM Europe Conference Proceedings).
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