Requirements uncertainty propagation in conceptual design using bayesian networks

Simple item page
dc.contributor.authorSpinelli, Andrea
dc.contributor.authorSharma, Ankit
dc.contributor.authorKipouros, Timoleon
dc.date.accessioned2024-10-22T09:23:36Z
dc.date.available2024-10-22T09:23:36Z
dc.date.freetoread2024-10-22
dc.date.issued2024-09-09
dc.date.pubOnline2024-09-09
dc.description.abstractThis paper presents the application of a Bayesian Network as a tool for propagating the uncertainty between the aircraft-level design and the component-level design. The framework is applied to an example case in UAV design for payload transport. By querying the model, we demonstrate its ability to capture the casual relationships of the design problem and propagating the effects of design decisions on other parameters and requirements.
dc.description.conferencename34th Congress of the International Council of the Aeronautical Sciences
dc.description.sponsorshipThis project has received funding from Innovate UK under Grant Agreement No 10003388.
dc.identifier.citationSpinelli A, Sharma A, Kipouros T. (2024) Requirements uncertainty propagation in conceptual design using bayesian networks. 34th Congress of the International Council of the Aeronautical Sciences, 9 - 13 Sep 2024, Florence, Italy
dc.identifier.elementsID554780
dc.identifier.issn2958-4647
dc.identifier.urihttps://www.icas.org/ICAS_ARCHIVE/ICAS2024/data/papers/ICAS2024_0076_paper.pdf
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/23087
dc.language.isoen
dc.publisherInternational Council of the Aeronautical Sciences (ICAS)
dc.publisher.urihttps://www.icas2024.com/
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectRequirements uncertainty
dc.subjectMachine learning
dc.subjectBayesian networks
dc.subjectUAV Conceptual design
dc.titleRequirements uncertainty propagation in conceptual design using bayesian networks
dc.typeConference paper
dcterms.coverageFlorence, Italy
dcterms.dateAccepted2024-07-14
dcterms.temporal.endDate13 Sep 2024
dcterms.temporal.startDate9 Sep 2024

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Requirements_uncertainty_propagation-2024.pdf
Size:
1.32 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Plain Text
Description:
Download

Collections

Staff publications (SATM)