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Entwicklung eines Strukturüberwachungssystems auf Basis von Machine Learning Ansätzen

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Artikelnummer: BF-2022-003

Titel: Entwicklung eines Strukturüberwachungssystems auf Basis von Machine Learning Ansätzen
Autor(en): N. Rößler, A. Mösenbacher, M. Engelhardt, M. Fadil, A. Henriques
DOI: 10.48447/BF-2022-003
Veranstaltung: 48. Tagung des DVM-Arbeitskreises Betriebsfestigkeit
Jahr der Veröffentlichung: 2022
Publikationsart: Tagungsmanuskript (PDF)
Sprache: Deutsch
Stichwörter: Strukturüberwachung, SHM, Monitor, Machine Learning, Lebensdauer

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Publikationsart: Tagungsmanuskript (PDF)

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Autor(en): L. Heindel, P. Hantschke, M. Kästner

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Deutsch

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Autor(en): M. Braun, L. Kellner, M. Simon-Schultz

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Autor(en): P. Kubaschinski, A. Baruth, U. Tetzlaff, H. Altenbach, M. Waltz

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1

Deutsch

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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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Autor(en): V. Landersheim, M. Küppers

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Deutsch

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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): Prof. Dr. R. Schrank

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Vereinfachung von Betriebslastprüfungen mittels numerischer Optimierungsverfahren

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Deutsch

25,00 €

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Herausgeber: M. Decker

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48. Tagung des DVM-Arbeitskreises Betriebsfestigkeit

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Deutsch

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

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Modell- und Datenbasierte Lastdaten-Prädiktion und Kollektiv-Optimierung

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Deutsch

25,00 €

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

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Deutsch

25,00 €

Nur online erhältlich