Advancing Next-Generation Aviation Safety: AI-Driven Predictive Maintenance and Autonomous Aircraft Health Monitoring

Aviation safety remains the cornerstone of modern aerospace operations, with advancements in predictive maintenance playing a crucial role in minimizing failures and optimizing aircraft performance. This white paper explores how Artificial Intelligence (AI) and Machine Learning (ML) technologies are transforming predictive maintenance strategies in aviation. We examine current industry challenges, highlight real-world applications, and propose a novel AI-driven Aircraft Health Monitoring System (AHMS) framework that integrates real-time anomaly detection, digital twin modeling, and autonomous maintenance decision-making. Through case studies of AI implementation in major airline fleets and military aviation, this paper provides insights into how AI-driven systems can enhance operational efficiency, reduce maintenance costs, and improve aviation safety.