Artificial Intelligence Technologies for Aircraft Maintenance

This document is a systematic literature review examining the application of artificial intelligence (AI) technologies in aircraft maintenance. It outlines the significance of effective aircraft maintenance in ensuring safety, reliability, and cost-effectiveness within the aviation industry. The review analyzes a dataset of 696 publications from 1984 to 2024, focusing on AI technologies such as Automated Reasoning and Deep Learning. It identifies key AI applications in predictive maintenance, fault diagnosis, and aircraft health monitoring, while also discussing the challenges and prospects associated with these technologies. The paper highlights the evolution of maintenance strategies from reactive to predictive approaches, emphasizing the role of AI in enhancing maintenance reliability and operational efficiency. Furthermore, it addresses the need for comprehensive reviews to consolidate knowledge and identify research gaps in the field. The findings are intended to guide future studies and inform stakeholders about the implications of AI adoption in aircraft maintenance processes.