Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.4990
DC FieldValueLanguage
dc.contributor.authorLaukotka, Fabian N.-
dc.contributor.authorKrause, Dieter-
dc.date.accessioned2023-03-13T10:50:30Z-
dc.date.available2023-03-13T10:50:30Z-
dc.date.issued2023-03-08-
dc.identifierdoi: 10.3390/systems11030142-
dc.identifier.citationSystems 11 (3): 142 (2023)de_DE
dc.identifier.issn2079-8954de_DE
dc.identifier.urihttp://hdl.handle.net/11420/14991-
dc.description.abstractAviation is characterized by many stakeholders, long lifespans of its assets, and high requirements regarding safety, security, and documentation. To meet these requirements as well as customer needs, aircraft are regularly retrofitted with new cabins. During the planning and execution of this cabin retrofit, handling the needed and available data poses a challenge to the engineers. While much of the required data is available in some form, generally there is a lack of a digitally usable dataset of the specific aircraft—a virtual representation of the physical asset is missing. To support the implementation of such a digital twin and, thus, the overall process of retrofitting aircraft, an approach to model-driven data handling tailored to the unique circumstances and requirements of aviation is introduced. The methodology consists of a combination of systems engineering and data science techniques framed by an overarching procedure that iteratively creates and enhances a digitally accessible dataset of the relevant data, hence supporting the retrofit engineers by easing access to needed information. Besides the presentation of the research background and the methodology, a simplified example is shown, demonstrating the approach using abstracted but realistic information provided by partners from the industry.-
dc.description.abstractAviation is characterized by many stakeholders, long lifespans of its assets, and high requirements regarding safety, security, and documentation. To meet these requirements as well as customer needs, aircraft are regularly retrofitted with new cabins. During the planning and execution of this cabin retrofit, handling the needed and available data poses a challenge to the engineers. While much of the required data is available in some form, generally there is a lack of a digitally usable dataset of the specific aircraft - a virtual representation of the physical asset is missing. To support the implementation of such a digital twin and, thus, the overall process of retrofitting aircraft, an approach to model-driven data handling tailored to the unique circumstances and requirements of aviation is introduced. The methodology consists of a combination of systems engineering and data science techniques framed by an overarching procedure that iteratively creates and enhances a digitally accessible dataset of the relevant data, hence supporting the retrofit engineers by easing access to needed information. Besides the presentation of the research background and the methodology, a simplified example is shown, demonstrating the approach using abstracted but realistic information provided by partners from the industry.en
dc.language.isoende_DE
dc.publisherMultidisciplinary Digital Publishing Institutede_DE
dc.relation.ispartofSystemsde_DE
dc.rightsCC BY 4.0de_DE
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/de_DE
dc.subjectaviationde_DE
dc.subjectretrofitde_DE
dc.subjectdata handlingde_DE
dc.subjectmodel-basedde_DE
dc.subjectmodel-drivende_DE
dc.subjectSysMLde_DE
dc.subjectgraphde_DE
dc.subject.ddc004: Informatikde_DE
dc.subject.ddc600: Technikde_DE
dc.subject.ddc620: Ingenieurwissenschaftende_DE
dc.titleSupporting digital twins for the retrofit in aviation by a model-driven data handlingde_DE
dc.typeArticlede_DE
dc.date.updated2023-03-10T14:02:01Z-
dc.identifier.doi10.15480/882.4990-
dc.type.diniarticle-
dcterms.DCMITypeText-
tuhh.identifier.urnurn:nbn:de:gbv:830-882.0213889-
tuhh.oai.showtruede_DE
tuhh.abstract.englishAviation is characterized by many stakeholders, long lifespans of its assets, and high requirements regarding safety, security, and documentation. To meet these requirements as well as customer needs, aircraft are regularly retrofitted with new cabins. During the planning and execution of this cabin retrofit, handling the needed and available data poses a challenge to the engineers. While much of the required data is available in some form, generally there is a lack of a digitally usable dataset of the specific aircraft - a virtual representation of the physical asset is missing. To support the implementation of such a digital twin and, thus, the overall process of retrofitting aircraft, an approach to model-driven data handling tailored to the unique circumstances and requirements of aviation is introduced. The methodology consists of a combination of systems engineering and data science techniques framed by an overarching procedure that iteratively creates and enhances a digitally accessible dataset of the relevant data, hence supporting the retrofit engineers by easing access to needed information. Besides the presentation of the research background and the methodology, a simplified example is shown, demonstrating the approach using abstracted but realistic information provided by partners from the industry.de_DE
tuhh.publisher.doi10.3390/systems11030142-
tuhh.publication.instituteProduktentwicklung und Konstruktionstechnik M-17de_DE
tuhh.identifier.doi10.15480/882.4990-
tuhh.type.opus(wissenschaftlicher) Artikel-
dc.type.driverarticle-
dc.type.casraiJournal Article-
tuhh.container.issue3de_DE
tuhh.container.volume11de_DE
dc.relation.projectOpen-Access-Publikationskosten / 2022-2024 / Technische Universität Hamburg (TUHH)de_DE
dc.rights.nationallicensefalsede_DE
dc.identifier.scopus2-s2.0-85151117371de_DE
tuhh.container.articlenumber142de_DE
local.status.inpressfalsede_DE
local.type.versionpublishedVersionde_DE
datacite.resourceTypeArticle-
datacite.resourceTypeGeneralJournalArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.languageiso639-1en-
item.creatorGNDLaukotka, Fabian N.-
item.creatorGNDKrause, Dieter-
item.mappedtypeArticle-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.creatorOrcidLaukotka, Fabian N.-
item.creatorOrcidKrause, Dieter-
crisitem.project.funderDeutsche Forschungsgemeinschaft (DFG)-
crisitem.project.funderid501100001659-
crisitem.project.funderrorid018mejw64-
crisitem.author.deptProduktentwicklung und Konstruktionstechnik M-17-
crisitem.author.deptProduktentwicklung und Konstruktionstechnik M-17-
crisitem.author.orcid0000-0001-6534-5171-
crisitem.author.orcid0000-0002-1253-1699-
crisitem.author.parentorgStudiendekanat Maschinenbau-
crisitem.author.parentorgStudiendekanat Maschinenbau-
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