Print Email Facebook Twitter Prognostics on Aircraft Components in the Field of Predictive Maintenance Title Prognostics on Aircraft Components in the Field of Predictive Maintenance Author Prins, G. Contributor Verhagen, W.J.C. (mentor) Faculty Aerospace Engineering Department Control and Operations Programme Air Transport Operations Date 2016-02-12 Abstract A case study on the Boeing 747 Integrated Drive Generator for predicting the remaining useful life (RUL) of the component. Real aircraft data is used with the neural network methodology for the prognostic model. Cost savings can be achieved by applying the model in aircraft maintenance. Subject predictive maintenanceprognosticsaircraft maintenance To reference this document use: http://resolver.tudelft.nl/uuid:76f0844e-74d5-4057-9c28-96cfe5af8de5 Embargo date 2021-01-27 Part of collection Student theses Document type master thesis Rights (c) 2016 Prins, G. Files PDF MSc_Thesis_Guido_Prins_-_ ... ential.pdf 5.89 MB Close viewer /islandora/object/uuid:76f0844e-74d5-4057-9c28-96cfe5af8de5/datastream/OBJ/view