KI-Auswertung von Reparaturdaten in der Luftfahrt

Publikationstyp
Journal Article
Date Issued
2022
Sprache
English
Author(s)
Hörstel, F.  
Kähler, Falko  orcid-logo
Schüppstuhl, Thorsten  orcid-logo
Institut
Flugzeug-Produktionstechnik M-23  
TORE-URI
http://hdl.handle.net/11420/13959
Journal
wt Werkstattstechnik online  
Volume
112
Issue
9
Start Page
613
End Page
618
Citation
WT Werkstattstechnik 112 (9): 613-618 (2022)
Publisher DOI
10.37544/1436-4980-2022-09-85
Scopus ID
2-s2.0-85140610527
During aircraft MRO, structural components are inspected for surface defects, removing any defects locally. The position and extent of the repair areas will largely determine the reuse of the component. In this process, the condition is manually assessed based on expert knowledge. This paper presents a data-driven evaluation approach for assessing the repair work, enabling a well-founded as well as objective condition assessment on the basis of historical repairs.