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

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dc.contributor.authorSeyyedAbdolHojjat MoghadasNian
dc.date.accessioned2026-01-14T17:50:01Z
dc.date.issued2025-04-20
dc.description.abstractThis 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 >11% 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.
dc.description.provenanceSubmitted by SeyyedAbdolHojjat MoghadasNian (s14110213@gmail.com) on 2026-01-14T17:50:01Z No. of bitstreams: 1 Generative AI for Aviation Maintenance Optimizing Predictive Analytics through Strategic Prompt Engineering and Hybrid Human AI Collaboration.pdf: 300663 bytes, checksum: 82e6cd3ee86fc4b4e6160d9a2efeac90 (MD5)en
dc.description.provenanceMade available in DSpace on 2026-01-14T17:50:01Z (GMT). No. of bitstreams: 1 Generative AI for Aviation Maintenance Optimizing Predictive Analytics through Strategic Prompt Engineering and Hybrid Human AI Collaboration.pdf: 300663 bytes, checksum: 82e6cd3ee86fc4b4e6160d9a2efeac90 (MD5) Previous issue date: 2025-04-20en
dc.identifier.otherhttps://www.researchgate.net/publication/390516338_Generative_AI_for_Aviation_Maintenance_Optimizing_Predictive_Analytics_through_Strategic_Prompt_Engineering_and_Hybrid_Human_AI_Collaboration
dc.identifier.otherhttps://www.academia.edu/128630109/Generative_AI_for_Aviation_Maintenance_Optimizing_Predictive_Analytics_through_Strategic_Prompt_Engineering_and_Hybrid_Human_AI_Collaboration
dc.identifier.otherhttps://doi.org/10.5281/zenodo.18247142
dc.identifier.otherhttps://papers.ssrn.com/sol3/papers.cfm?abstract_id=6072392
dc.identifier.otherhttps://figshare.com/articles/conference_contribution/Generative_AI_for_Aviation_Maintenance_Optimizing_Predictive_Analytics_through_Strategic_Prompt_Engineering_and_Hybrid_Human_AI_Collaboration/31069486
dc.identifier.urihttps://africarxiv.ubuntunet.net/handle/1/10727
dc.language.isoen
dc.publisherThe 10th international Conference on Knowledge and Technology of Mechanical, Electrical Engineering and Computer Of Iran
dc.titleGenerative AI for Aviation Maintenance: Optimizing Predictive Analytics through Strategic Prompt Engineering and Hybrid Human AI Collaboration
dc.typeArticle

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