Print Email Facebook Twitter If it ain't broke, don't fix it Title If it ain't broke, don't fix it: Optimizing the predictive aircraft maintenance schedule with Remaining Useful Life prognostics Author de Pater, I.I. (TU Delft Air Transport & Operations) Contributor Mulder, Max (promotor) Mitici, M.A. (copromotor) Degree granting institution Delft University of Technology Date 2024-04-11 Abstract Predictive aircraft maintenance is a maintenance strategy that aims to reduce the number of failures, the number of inspections, the number of maintenance tasks and the aircraft maintenance costs. Aircraft are equipped with health monitoring systems, where sensors continuously measure the condition of the aircraft components. In predictive maintenance, these sensor measurements are used to estimate the time left until the failure of these components, called the Remaining Useful Life (RUL). These RUL prognostics are subsequently used to optimize the aircraft maintenance schedule. There are several challenges that complicate the implementation of predictive aircraft maintenance in practice. In this thesis, the threemain challenges are addressed. Subject Predictive maintenanceRemaining Useful Life prognosticsAircraft maintenance To reference this document use: https://doi.org/10.4233/uuid:110bc70f-0e08-431d-bd41-00293f04ecee Part of collection Institutional Repository Document type doctoral thesis Rights © 2024 I.I. de Pater Files PDF Dissertation_final_versio ... _Pater.pdf 47.77 MB Close viewer /islandora/object/uuid:110bc70f-0e08-431d-bd41-00293f04ecee/datastream/OBJ/view