Airline companies together with aircraft maintenance, repair and overhaul (MRO) organizations are entirely responsible for the safe flight. In these circumstances, to become the industry leaders, they also need to keep in mind that time is critical as well. Airlines and MRO organizations are permanently searching the adequate balance between the flight safety and the cost of aircraft maintenance. This makes the repair and overhaul the significant element of the industry. To speed up the process of aircraft maintenance MRO organizations need to accurately measure all its possible surface impact damages. Developing digital tooling can significantly improve the efficiency of the external surface damage definition. Additionally, the data collection, storage and analysis can prove advanced aircraft reliability monitoring.

    3D scanner with artificial intelligence integration can be an optimal solution for the aircraft fuselage damage assessment. This paper starts with providing a brief observation and investigation of the scanning technology. It introduces the existing methods for the aircraft surface inspection in MRO organizations. Additionally, the article describes the models of decision support systems for the fuselage damage identification. The key area of the study is to formulate basic principles of modeling the advanced aircraft damage assessment. The conclusion formulates recommendations of the improvement of the described process.


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    Titel :

    Model of Decision Support System with Artificial Intelligence for Aircraft Fuselage Damage Assessment


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Kabashkin, Igor (Herausgeber:in) / Yatskiv, Irina (Herausgeber:in) / Prentkovskis, Olegas (Herausgeber:in) / Bodrova, Irina (Autor:in)

    Kongress:

    International Conference on Reliability and Statistics in Transportation and Communication ; 2022 ; Riga, Latvia October 20, 2022 - October 21, 2022



    Erscheinungsdatum :

    2023-02-21


    Format / Umfang :

    13 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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