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Research Article

Artificial Intelligence Application on Aircraft Maintenance: A Systematic Literature Review

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  • @ARTICLE{10.4108/eetiot.6938,
        author={Erna Shevilia Agustian and Zastra Alfarezi Pratama},
        title={Artificial Intelligence Application on Aircraft Maintenance: A Systematic Literature Review},
        journal={EAI Endorsed Transactions on Internet of Things},
        volume={10},
        number={1},
        publisher={EAI},
        journal_a={IOT},
        year={2024},
        month={12},
        keywords={Artificial intelligence, Aircraft maintenance, Industry 5.0},
        doi={10.4108/eetiot.6938}
    }
    
  • Erna Shevilia Agustian
    Zastra Alfarezi Pratama
    Year: 2024
    Artificial Intelligence Application on Aircraft Maintenance: A Systematic Literature Review
    IOT
    EAI
    DOI: 10.4108/eetiot.6938
Erna Shevilia Agustian1,*, Zastra Alfarezi Pratama2
  • 1: Universitas Suryadarma
  • 2: Universitas Insan Cita Indonesia
*Contact email: ernashevilia@unsurya.ac.id

Abstract

Maintenance is an essential aspect of supporting aircraft operations. However, there are still several obstacles and challenges in the process, such as incomplete technical record data, irregular maintenance schedules, unscheduled component replacement, unavailability of tools or components, recurring problems, and a long time for troubleshooting. Digitalization and the massive use of artificial intelligence (AI) in various sectors have been widely carried out in the industry 5.0 era today, especially in the aviation industry. It offers several advantages to optimize aircraft maintenance and operations, such as predictive maintenance, fault detection, failure diagnosis, and intelligent monitoring systems. The utilization of AI has the potential to solve obstacles and challenges in aircraft maintenance activities, such as improving aircraft reliability, reducing aircraft downtime, improving safety, and reducing maintenance costs. This research uses the Systematic Literature Review method, which aims to review and provide an understanding of objectives, strategies, methods, and equipment objects involved in the application of AI in aircraft maintenance and repair scope. The findings and understanding from this research can be used as a basis for utilizing or adopting AI in aircraft maintenance to be more targeted and efficient in the future. This study reviews and presents research trends from reputable journals and proceedings screened using a unique protocol.

Keywords
Artificial intelligence, Aircraft maintenance, Industry 5.0
Received
2024-12-05
Accepted
2024-12-05
Published
2024-12-05
Publisher
EAI
http://dx.doi.org/10.4108/eetiot.6938

Copyright © 2024 Agustian et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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