Automated detection of hot-gas path defects by Support Vector Machine based analysis of exhaust density fields

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autorschaft

  • Marcel Oettinger
  • Lars Wein
  • Dajan Mimic
  • Philipp Gilge
  • Ulrich Hartmann
  • Joerg Seume

Externe Organisationen

  • IAV GmbH
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Seitenumfang16
FachzeitschriftJournal of the Global Power and Propulsion Society
Jahrgang2021
AusgabenummerSpecial Issue 1-16
PublikationsstatusVeröffentlicht - 13 Juli 2021

Zitieren

Automated detection of hot-gas path defects by Support Vector Machine based analysis of exhaust density fields. / Oettinger, Marcel; Wein, Lars; Mimic, Dajan et al.
in: Journal of the Global Power and Propulsion Society, Jahrgang 2021, Nr. Special Issue 1-16, 13.07.2021.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Oettinger, M, Wein, L, Mimic, D, Gilge, P, Hartmann, U & Seume, J 2021, 'Automated detection of hot-gas path defects by Support Vector Machine based analysis of exhaust density fields', Journal of the Global Power and Propulsion Society, Jg. 2021, Nr. Special Issue 1-16. https://doi.org/10.33737/jgpps/137952
Oettinger, M., Wein, L., Mimic, D., Gilge, P., Hartmann, U., & Seume, J. (2021). Automated detection of hot-gas path defects by Support Vector Machine based analysis of exhaust density fields. Journal of the Global Power and Propulsion Society, 2021(Special Issue 1-16). https://doi.org/10.33737/jgpps/137952
Oettinger M, Wein L, Mimic D, Gilge P, Hartmann U, Seume J. Automated detection of hot-gas path defects by Support Vector Machine based analysis of exhaust density fields. Journal of the Global Power and Propulsion Society. 2021 Jul 13;2021(Special Issue 1-16). doi: 10.33737/jgpps/137952
Oettinger, Marcel ; Wein, Lars ; Mimic, Dajan et al. / Automated detection of hot-gas path defects by Support Vector Machine based analysis of exhaust density fields. in: Journal of the Global Power and Propulsion Society. 2021 ; Jahrgang 2021, Nr. Special Issue 1-16.
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AU - Gilge, Philipp

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AU - Seume, Joerg

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