Generative AI for Aviation Maintenance: Optimizing Predictive Analytics through Strategic Prompt Engineering and Hybrid Human -AI Collaboration

This study examines the effect of strategic prompt engineering on the diagnostic accuracy of generative AI for predictive maintenance in aviation and evaluates the performance of hybrid human-AI maintenance teams. Using a mixed-methods approach combining quantitative analysis of diagnostic accuracy and mean time-to-repair (MTTR) metrics with qualitative interviews of industry experts, results show a >۱۱% improvement in fault prediction accuracy and a significant reduction in MTTR. Findings contribute a KPI-driven framework and propose governance guidelines for ethical AI deployment in aviation.

کلیدواژه ها:

Generative AI ، Predictive Maintenance ، Prompt Engineering ، Hybrid Human AI Teams ، Aviation Management