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Vorhersage des Ermüdungsfestigkeitsverhaltens von Stumpfstößen mittels Explainable Artificial Intelligence

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Produktdetails

Artikelnummer: BF-2022-002

Titel: Vorhersage des Ermüdungsfestigkeitsverhaltens von Stumpfstößen mittels Explainable Artificial Intelligence
Autor(en): M. Braun, L. Kellner, M. Simon-Schultz
DOI: 10.48447/BF-2022-002
Veranstaltung: 48. Tagung des DVM-Arbeitskreises Betriebsfestigkeit
Jahr der Veröffentlichung: 2022
Publikationsart: Tagungsmanuskript (PDF)
Sprache: Deutsch
Stichwörter: Lebensdauervorhersage, maschinelles Lernen, Regressionsbäume, erklärbare KI, Anomalieerkennung

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Autor(en): M. Baur, R. Teutsch

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Prädiktive Wartung in der Intralogistik

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Deutsch

25,00 €

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Autor(en): C. Müller, R. Prignitz, M. Decker

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Deutsch

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Autor(en): B. Blinn, M. Kohmann, R. Behr, T. Beck

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Berücksichtigung der Defekttoleranz bei der Auslegung von mittels laminarem Druckguss gefertigten Komponenten

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Deutsch

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Autor(en): T. Müller, S. Komesker, M. von Lienen, N. Schmudde, B. Schubert

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Hybride Betriebsfestigkeitsvalidierung im V-Modell am Beispiel einer Hinterachslenkung

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Deutsch

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Autor(en): R. Schliebner, E. Schaller, M. Seise

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Untersuchungen zum Anwendungspotential 3D gedruckter dynamisch beanspruchter Bauteile im Automobilbau

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Deutsch

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Autor(en): V. Landersheim, M. Küppers

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Ansatz zur Betriebsfestigkeitsbewertung der rahmenseitigen Anbindung ...

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Deutsch

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Deutsch

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Autor(en): A. Kolyshkin, C. Frie, T. Froschmeier

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Autor(en): S. Spanke, Prof. Dr.-Ing. J. Scholten, Dr.-Ing. H. Haensel, Dr.-Ing J. Höhbusch

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Deutsch

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