FAA_CPM_Data: Derived Data for Causal Reliability Decision Support in Aircraft Maintenance

Published: 12 August 2026| Version 1 | DOI: 10.17632/pwjp6f88v8.1
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Description

This dataset supports the study “Causal Reliability Decision Support for Aircraft Maintenance: Estimating Heterogeneous Repair-versus-Replacement Effects from FAA Service Difficulty Reports.” The data were derived from publicly available Federal Aviation Administration Service Difficulty Report (FAA SDR) annual files for 2015–2025, with 2026 records used solely to complete follow-up for eligible late-2025 episodes. The primary analytical cohort comprises 277,944 non-overlapping aircraft-system defect episodes from 15,818 aircraft. The study evaluates repair versus replacement with respect to 90-day reported recurrence using target-trial emulation, cross-fitted augmented inverse probability weighting, double machine learning, heterogeneous treatment-effect estimation, and retrospective policy evaluation. Derived data are provided for research reproducibility. Direct aircraft-registration identifiers have been removed or irreversibly replaced with study identifiers. Original FAA source files remain available from the FAA and are not claimed as original data created by the author.

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Aerospace Engineering, Data Analysis, Aircraft, Aviation Safety, Causal Inference, Condition-Based Maintenance, Fault Diagnosis in Aircraft

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