Impacts of digitalization on aeronautical maintenance: applications of augmented reality and artificial intelligence in inspection and fault diagnosis
DOI:
https://doi.org/10.55892/jrg.v8i19.2725Keywords:
Digitalization, Aircraft maintenance, Artificial intelligence, Augmented reality, Industry 4.0Abstract
This study presents an integrative literature review on the impacts of digitalization in aircraft maintenance, focusing on the applications of Artificial Intelligence (AI) and Augmented Reality (AR) in inspection and fault diagnosis processes. The aim was to identify how these technologies have transformed maintenance paradigms by promoting greater operational efficiency, reliability, and safety. The research was conducted between September and October 2025, covering articles published from 2015 to 2025 in major scientific databases, such as Consensus, Scopus, ScienceDirect, IEEE Xplore, SpringerLink, and Scielo. The findings show that digitalization is a strategic driver of innovation in the aeronautical sector, consolidating integrated and predictive systems supported by AI, IoT, and Digital Twins. Artificial Intelligence proved essential for developing machine learning and neural network algorithms capable of predicting failures with high accuracy, while Augmented Reality stood out as a technical support and immersive training tool. Despite these advances, challenges remain regarding implementation costs, standardization, and workforce training. It is concluded that digitalization represents a strategic and inevitable necessity for the sustainable advancement of the aviation sector, positioning aeronautics as one of the leading fields in contemporary digital transformation.
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References
AGUSTIAN, E. S.; PRATAMA, Z. A. Artificial intelligence application on aircraft maintenance: a systematic literature review. EAI Endorsed Transactions on Internet of Things, s. l.: European Alliance for Innovation (EAI), 2024.
ALOMAR, I.; JACKIVA, I. Y. Digitalization in aircraft maintenance processes. Aviation, Vilnius, v. 27, n. 2, p. 86–94, 2023.
ATTAR, M.; KHAN, M.; RAHMAN, M.; SINGH, A. Smart aircraft monitoring using AI-driven digital twins and IoT-based data acquisition. International Journal for Multidisciplinary Research, Londres, 2025.
BARDIN, L. Análise de conteúdo. 5. ed. Lisboa: Edições 70, 2016.
BHAT, N. Augmented reality and deep learning integration for enhanced design and maintenance in mechanical engineering. Power System Technology, Pequim, 2023.
CERUTI, A.; MARZOCCHI, A.; LIVERANI, A.; BIL, C. Maintenance in aeronautics in an Industry 4.0 context: the role of augmented reality and additive manufacturing. Journal of Computational Design and Engineering, Oxford: Elsevier, v. 6, p. 516–526, 2019.
GILL, M. S.; FAY, A. Utilisation of semantic technologies for the realisation of data-driven process improvements in the maintenance, repair and overhaul of aircraft components. CEAS Aeronautical Journal, Berlim: Springer, v. 15, p. 459–480, 2023.
KABASHKIN, I.; PEREKRESTOV, V.; PIVOVAR, M. AI-driven fault detection and maintenance optimization for aviation technical support systems. Processes, Basel: MDPI, 2025.
KABASHKIN, I.; SHOSHIN, L. Artificial intelligence of things as new paradigm in aviation health monitoring systems. Future Internet, Basel: MDPI, v. 16, p. 276, 2024.
KARAOĞLU, U.; MBAH, O.; ZEESHAN, Q. Applications of machine learning in aircraft maintenance. Journal of Engineering Management and Systems Engineering, Londres, 2023.
KITCHENHAM, B. Guidelines for performing systematic literature reviews in software engineering. Keele: Keele University, 2007.
KOSLOSKY, L. B. Commercial aviation in a digital world: a cyberphysical systems approach for innovative maintenance. Aeronautics and Aerospace Open Access Journal, Londres, 2019.
LOIZEAU, Q.; GUILBERT, S.; PERETTI, S.; GOURVEZ, S. Methodology for the field evaluation of the impact of augmented reality tools for maintenance workers in the aeronautic industry. Frontiers in Virtual Reality, Lausanne: Frontiers Media, 2021.
MENDES, K. D. S.; SILVEIRA, R. C. C. P.; GALVÃO, C. M. Revisão integrativa: método de pesquisa para a incorporação de evidências na saúde e na enfermagem. Texto & Contexto – Enfermagem, Florianópolis: UFSC, v. 17, n. 4, p. 758–764, 2008.
PENG, C. C.; CHANG, A. C.; CHU, Y. L. Application of augmented reality for aviation equipment inspection and maintenance training. In: INTERNATIONAL CONFERENCE ON APPLIED SYSTEM INNOVATION (ICASI), 8., 2022, Taipei. Proceedings [...]. Taipei: IEEE, 2022.
PRODANOV, C. C.; FREITAS, E. C. Metodologia do trabalho científico: métodos e técnicas da pesquisa e do trabalho acadêmico. 2. ed. Novo Hamburgo: Feevale, 2013.
SU, H.; LI, X.; ZHOU, Y.; CHEN, Y. Application of AR technology in aircraft maintenance manual. Journal of Physics: Conference Series, Bristol: IOP Publishing, v. 1738, 2021.
WHITTEMORE, R.; KNAFL, K. The integrative review: updated methodology. Journal of Advanced Nursing, Oxford: Wiley, v. 52, n. 5, p. 546–553, 2005.
WU, W.; VU, V. Application of virtual reality method in aircraft maintenance service—taking Dornier 228 as an example. Applied Sciences, Basel: MDPI, 2022.
