Please use this identifier to cite or link to this item: https://nbn-resolving.org/urn:nbn:de:hbz:467-9912
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dc.contributor.authorPerdomo Arvizu, Maria del Carmen
dc.date.accessioned2019-09-02T10:03:08Z-
dc.date.available2016-04-12T12:12:12Z
dc.date.available2019-09-02T10:03:08Z-
dc.date.issued2015
dc.description.abstractThe present work, is a contribution on the identification of mechanical parameters in time domain. This dissertation is focused on the identification of drives possessing composed mechanisms that have periodical motion cycles. From the point of view of control, such mechanisms can be described by the reduced moment of inertia, which is a function of the position of the actuator. The identification of this mechanical part was approached in this work by utilizing two different methods: a stochastic and a deterministic procedure. A method for the detection of faults in bearings was outlined within the scope of this work. If the dynamic response of a drive is measured during the commissioning of the machine, this information can be considered the footprint of a healthy system and can be used to be compared with updated measurements during operation.en
dc.identifier.urihttps://dspace.ub.uni-siegen.de/handle/ubsi/991-
dc.identifier.urnurn:nbn:de:hbz:467-9912
dc.identifier.urnurn:nbn:de:hbz:467-9912-
dc.language.isoenen
dc.rights.urihttps://dspace.ub.uni-siegen.de/static/license.txtde
dc.subject.ddc620 Ingenieurwissenschaften und Maschinenbaude
dc.subject.otherTrägheitsmomentde
dc.subject.otherLastmomentde
dc.subject.otherVorsteuerungde
dc.subject.otherElectric propulsionen
dc.subject.otherCondition monitoringen
dc.subject.otherAntifriction bearingsen
dc.subject.otherMechanicsen
dc.subject.otherDiagnosticsen
dc.subject.swbElektroantriebde
dc.subject.swbWälzlagerde
dc.subject.swbZustandsüberwachungde
dc.subject.swbKalman-Filterde
dc.subject.swbFourier-Reihede
dc.titleTime domain identification of the mechanical system of a drive for the purpose of diagnosticsen
dc.titleIdentifikation des mechanischen Systems eines Antriebs zur Diagnostik im Zeitbereichde
dc.typeDoctoral Thesisde
item.fulltextWith Fulltext-
ubsi.date.accepted2015-03-03
ubsi.publication.affiliationInstitut für Automatisierungstechnikde
ubsi.subject.ghbsXJC
ubsi.subject.ghbsXKN
ubsi.subject.ghbsXVWD
ubsi.subject.ghbsXZV
ubsi.subject.ghbsYCG
ubsi.type.versionpublishedVersionde
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