Designing reliable, data-driven maintenance for aircraft systems with applications to the aircraft landing gear brakes

J. Lee*, M.A. Mitici, S. Geng, M. Yang

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

When designing the maintenance of multi-component aircraft systems, we consider parameters such as safety margins (used when component replacements are scheduled), and reliability thresholds (used to define data-driven Remaining-Useful-Life prognostics of components). We propose Gaussian process learning and novel adaptive sampling techniques to efficiently optimize these design parameters. We illustrate our approach for aircraft landing gear bakes. Data-driven, Remaining-Useful-Life prognostics for brakes are obtained using a Bayesian linear regression. Pareto optimal safety margins for scheduling brake replacements are identified, together with Pareto optimal reliability thresholds for prognostics.
Original languageEnglish
Title of host publicationProceedings of the 32nd European Safety and Reliability Conference
EditorsMaria Chiara Leva, Edoardo Patelli, Luca Podofillini, Simon Wilson
PublisherESREL
DOIs
Publication statusPublished - 2022
Event32nd European Safety and Reliability Conference (ESREL 2022) - Dublin, Ireland
Duration: 28 Aug 20221 Sept 2022
Conference number: 32
https://www.esrel2022.com/

Conference

Conference32nd European Safety and Reliability Conference (ESREL 2022)
Abbreviated titleESREL 2022
Country/TerritoryIreland
CityDublin
Period28/08/221/09/22
Internet address

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