<div class="csl-bib-body">
<div class="csl-entry">Stojcic, G. (2018). <i>Detection of stator and rotor fault induced asymmetries in induction machines using voltage pulse excitation</i> [Dissertation, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/78212</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/78212
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dc.description
Zusammenfassung in deutscher Sprache
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dc.description.abstract
The present work is concerned with a method for fault detection in inverter-fed induction machines which makes it possible to detect different fault conditions in an early stage. The method is based on the identification of the transient leakage inductance, which can be seen as an image of the machine or of the machine condition. The transient leakage inductance is an parameter especially in converter-fed machines, not only for fault detection but also for the position detection of the rotor without a rotor position sensor, in so-called sensorless control methods. The transient leakage inductance is usually not apparent, considering the fundamental wave operation. The use of converters with the fast-switching power semiconductors and the associated current measuring hardware make it possible to identify this parameter. By coupling this information with the rotor and flux position, one can extract characteristic signal components of the machine by a frequency analysis technique (e.g., FFT) and use it for condition monitoring.
en
dc.format
viii, 154 Seiten
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dc.language
English
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dc.language.iso
en
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dc.subject
Induction Machines
en
dc.subject
Voltage Pulse Excitation
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dc.title
Detection of stator and rotor fault induced asymmetries in induction machines using voltage pulse excitation
en
dc.type
Thesis
en
dc.type
Hochschulschrift
de
dc.contributor.affiliation
TU Wien, Österreich
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dc.publisher.place
Wien
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tuw.thesisinformation
Technische Universität Wien
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tuw.publication.orgunit
E370 - Institut für Energiesysteme und Elektrische Antriebe
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dc.type.qualificationlevel
Doctoral
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dc.identifier.libraryid
AC15131407
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dc.description.numberOfPages
154
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dc.thesistype
Dissertation
de
dc.thesistype
Dissertation
en
tuw.advisor.staffStatus
staff
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item.languageiso639-1
en
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item.openairetype
doctoral thesis
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item.grantfulltext
none
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item.fulltext
no Fulltext
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item.cerifentitytype
Publications
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item.openairecristype
http://purl.org/coar/resource_type/c_db06
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crisitem.author.dept
E370 - Institut für Energiesysteme und Elektrische Antriebe
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crisitem.author.parentorg
E350 - Fakultät für Elektrotechnik und Informationstechnik