DC FieldValueLanguage
dc.contributor.authorGerdes, Mike-
dc.contributor.authorGalar, Diego-
dc.contributor.authorScholz, Dieter-
dc.date.accessioned2020-09-02T15:41:06Z-
dc.date.available2020-09-02T15:41:06Z-
dc.date.issued2016-
dc.identifier.isbn978-1-5108-2620-5en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12738/5061-
dc.description.abstractPattern recognition and signal analysis can be used to support and simplify the monitoring of complex aircraft systems. For this purpose, information must be extracted from the gathered data in a proper way. The parameters of the signal analysis need to be chosen specifically for the monitored system to get the best pattern recognition accuracy. An optimization process to find a good parameter set for the signal analysis has been developed by the means of global heuristic search and optimization. The computed parameters deliver slightly (one to three percent) better results than the ones found by hand. In addition it is shown that not a full set of data samples is needed. It is also concluded that genetic optimization shows the best performance.en
dc.language.isoenen_US
dc.publisherCurran Associates, Inc.en_US
dc.subjectCondition monitoringen_US
dc.subjectFeature extractionen_US
dc.subjectHeuristic algorithmsen_US
dc.subjectMaintainabilityen_US
dc.subjectOptimizationen_US
dc.subjectPattern recognitionen_US
dc.subjectSignal analysisen_US
dc.subject.ddc620: Ingenieurwissenschaftenen_US
dc.titleAutomated parameter optimization for feature extraction for condition monitoringen
dc.typeinProceedingsen_US
dc.relation.conferenceIMEKO TC10 Workshop on Technical Diagnostics 2016en_US
local.contributorCorporate.editorInternational Measurement Confederation-
tuhh.container.endpage457en_US
tuhh.container.startpage452en_US
tuhh.oai.showtrueen_US
tuhh.publication.instituteDepartment Fahrzeugtechnik und Flugzeugbauen_US
tuhh.publication.instituteFakultät Technik und Informatiken_US
tuhh.publication.instituteForschungsgruppe Flugzeugentwurf und -systeme (AERO)en_US
tuhh.publisher.urlhttp://nbn-resolving.de/urn:nbn:se:ltu:diva-59611-
tuhh.publisher.urlhttps://www.imeko.org/publications/tc10-2016/IMEKO-TC10-2016-085.pdf-
tuhh.publisher.urlhttp://www.fzt.haw-hamburg.de/pers/Scholz/PAHMIR/GERDES-2016_AutomatedParameterOptimization_IMEKO-Workshop.pdf-
tuhh.publisher.urlhttp://PAHMIR.ProfScholz.de-
tuhh.relation.ispartofseriesNew perspectives in measurements, tools and techniques for systems reliability, maintainability and safety : 14th IMEKO TC10 Workshop on Technical Diagnostics 2016 : Milan, Italy, 27-28 June 2016en_US
tuhh.type.opusInProceedings (Aufsatz / Paper einer Konferenz etc.)-
dc.type.casraiConference Paper-
dc.type.dinicontributionToPeriodical-
dc.type.drivercontributionToPeriodical-
dc.type.statusinfo:eu-repo/semantics/publishedVersionen_US
dcterms.DCMITypeText-
item.creatorGNDGerdes, Mike-
item.creatorGNDGalar, Diego-
item.creatorGNDScholz, Dieter-
item.fulltextNo Fulltext-
item.creatorOrcidGerdes, Mike-
item.creatorOrcidGalar, Diego-
item.creatorOrcidScholz, Dieter-
item.seriesrefNew perspectives in measurements, tools and techniques for systems reliability, maintainability and safety : 14th IMEKO TC10 Workshop on Technical Diagnostics 2016 : Milan, Italy, 27-28 June 2016-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.tuhhseriesidNew perspectives in measurements, tools and techniques for systems reliability, maintainability and safety : 14th IMEKO TC10 Workshop on Technical Diagnostics 2016 : Milan, Italy, 27-28 June 2016-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.openairetypeinProceedings-
crisitem.author.deptDepartment Fahrzeugtechnik und Flugzeugbau-
crisitem.author.orcid0000-0002-8188-7269-
crisitem.author.parentorgFakultät Technik und Informatik-
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