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June 2, 2026Open Access

AI-Driven Aircraft Maintenance: Enhancing Efficiency, Safety, and Sustainability

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Authors

SMSeyyedAbdolHojjat MoghadasNianMRMohammad RajolZHZahra HosseinZadehShirazi

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Overview

Mixed-methods study demonstrates improvements in aircraft maintenance efficiency and safety through AI integration, suggesting a need for ongoing innovation.

Key Points

  • This study aims to evaluate the impact of AI on aircraft maintenance practices, particularly in enhancing efficiency, safety, and sustainability.
  • Mixed-methods approach including case studies, AI performance analysis, and expert interviews.
  • Focus on key performance indicators (KPIs) to assess AI effectiveness.
  • Evaluation of AI applications in predictive maintenance, fault diagnosis, and operational management.
  • AI applications increased predictive maintenance accuracy, reducing unscheduled maintenance events significantly.
  • Operational efficiency and safety compliance were optimized through AI, with measurable improvements.
  • AI-driven methods contributed to enhanced fuel efficiency and reduced environmental waste.

Cite This Study

MoghadasNian et al. (2024) studied this question.

synapsesocial.com/papers/6a1e72e830b38c64201b6216https://doi.org/10.5281/zenodo.20471242
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