Volltext-Downloads (blau) und Frontdoor-Views (grau)
The search result changed since you submitted your search request. Documents might be displayed in a different sort order.
  • search hit 46 of 1255
Back to Result List

Application of Machine Learning Techniques to Determine Surface Hardness Based on the Barkhausen Effect

Export metadata

Additional Services

Search Google Scholar

Statistics

frontdoor_oas
Metadaten
Author:Christian Krause, Berkan Uysal, Michael Engler, Christian Radek, Maximilian Schaudig
DOI:https://doi.org/10.1515/htm-2022-1029
ISSN:2194-1831
Parent Title (English):HTM Journal of Heat Treatment and Materials
Document Type:Article (peer-reviewed)
Language:English
Year of Completion:2022
Release Date:2023/01/11
Tag:Barkhausenrauschen; Ferromagnetische Werkstoffe; Härtemessung; Machine learning; Qualitätssicherung
Volume:77.2022
Issue:6
First Page:409
Last Page:424
Open-Access-Status: Closed Access 
Licence (German):License LogoUrheberrechtlich geschützt