35th Congress of the International Council of the Aeronautical Sciences

11 - Operations and Sustainment

AI-BASED MAINTENANCE CODE CORRECTION FOR RELIABLE MTBF ANALYSIS

M. Kim¹, S.-H. Jeong¹, I. Lee¹, B. Shim¹; ¹Korea Aerospace Industries, LTD, South Korea

This work improves the reliability of MTBF-based analysis by automatically correcting maintenance codes from free-text records using AI. It reduces human dependency, enforces logical consistency, and enables scalable reliability analysis. The approach is applicable to aviation and other asset-intensive industries relying on structured maintenance data.


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DOI: 10.71945/icas2026_0770