Skip to main content
SpringerLink
Log in

Der digitale Zwilling als Wegbereiter für Machine-Learning-Verfahren am Powertrain-in-the-Loop-Prüfstand

  • Fachbeitrag
  • Published:
MTZextra

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Bild 1
Bild 2
Bild 3
Bild 4
Bild 5

Author information

Authors and Affiliations

  1. Dr. Ing. h.c. F. Porsche AG, Weissach, Germany

    Jannes Schilling, Jan-Michael Wilmsen & Martin Reichensperger

  2. Institut für Fahrzeugtechnik Stuttgart, Stuttgart, Germany

    Hans-Christian Reuss

Authors
  1. Jannes Schilling
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jan-Michael Wilmsen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Martin Reichensperger
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Hans-Christian Reuss
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Schilling, J., Wilmsen, JM., Reichensperger, M. et al. Der digitale Zwilling als Wegbereiter für Machine-Learning-Verfahren am Powertrain-in-the-Loop-Prüfstand. MTZ Extra 28 (Suppl 1), 14–19 (2023). https://doi.org/10.1007/s41490-023-0923-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s41490-023-0923-6

Search

Navigation