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Vorhersage des Ermüdungsfestigkeitsverhaltens von Stumpfstößen mittels Explainable Artificial Intelligence

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Product Details

Reference: BF-2022-002

Title: Vorhersage des Ermüdungsfestigkeitsverhaltens von Stumpfstößen mittels Explainable Artificial Intelligence
Author(s): M. Braun, L. Kellner, M. Simon-Schultz
DOI: 10.48447/BF-2022-002
Event: 48. Tagung des DVM-Arbeitskreises Betriebsfestigkeit
Year of publication: 2022
Publication type: conference paper (PDF)
Language: German
Keywords: Lebensdauervorhersage, maschinelles Lernen, Regressionsbäume, erklärbare KI, Anomalieerkennung

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Hochlastauslegung von vibrationsbelasteten KFZ-Bauteilen mittels Schock-Antwort-Spektren

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Hybride Betriebsfestigkeitsvalidierung im V-Modell am Beispiel einer Hinterachslenkung

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€25.00

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Vereinfachung von Betriebslastprüfungen mittels numerischer Optimierungsverfahren

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Editor(s): M. Decker

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48. Tagung des DVM-Arbeitskreises Betriebsfestigkeit

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€90.00

Author(s): M. Peschkes, J.-U. Brandt, J. Scholten, J. Höhbusch, H. Haensel

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€25.00

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Author(s): D. Kreuter, J. Mueller

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€25.00

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Author(s): K. Auer, W. Scheffel, A. Haug, L. Burger, S. Beckmann, M. Burger

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1

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€25.00

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Author(s): V. Landersheim, M. Küppers

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Ansatz zur Betriebsfestigkeitsbewertung der rahmenseitigen Anbindung ...

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