Artificial Intelligence Applications in the Aviation Industry: From Design to Maintenance for Aircraft

Jiahao Chen

2025

Abstract

Recently, the application of artificial intelligence in the aviation industry has received widespread attention. However, the existing literature review in this field remains fragmented and lacks a systematic and holistic approach. To fill this gap, this paper focuses on the whole life cycle of an aircraft, starting from the four key phases of design, manufacturing, operation, and maintenance, and systematically combs through the typical applications and representative technologies of AI in the aerospace industry, covering the optimization of deep learning in aerodynamic layout, the combination of digital twins and intelligent manufacturing, the intelligent analysis of flight operation data, and the predictive maintenance system and other key cases. Meanwhile, this paper also focuses on the core challenges of data quality, model credibility, system integration, and security faced in the current implementation process and proposes a preliminary outlook on future research directions such as credible AI, human-machine collaboration, and full-process data closure. As a review study, this paper builds a framework for aircraft life cycle by structurally organizing the existing results and practice cases, which provides a reference for promoting the deeper application of AI technology in the aviation field.

Paper Citation

in Harvard Style

Chen J. (2025). Artificial Intelligence Applications in the Aviation Industry: From Design to Maintenance for Aircraft. In Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-792-4, SciTePress, pages 496-503. DOI: 10.5220/0014361800004718

in Bibtex Style

@conference{emiti25,
author={Jiahao Chen},
title={Artificial Intelligence Applications in the Aviation Industry: From Design to Maintenance for Aircraft},
booktitle={Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2025},
pages={496-503},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014361800004718},
isbn={978-989-758-792-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - Artificial Intelligence Applications in the Aviation Industry: From Design to Maintenance for Aircraft
SN - 978-989-758-792-4
AU - Chen J.
PY - 2025
SP - 496
EP - 503
DO - 10.5220/0014361800004718
PB - SciTePress