AI-driven predictive maintenance framework for public-service fleets: a cost-sensitive explainable prioritization and optimization approach
This article aims to develop a business-centred, cost-sensitive and explainable predictive maintenance decision framework for public-service fleets with limited maintenance capacity. The prediction layer is validated on the public AI4I 2020 benchmark using discrimination, calibration and SHAP diagnostics, an...