Full metadata record
DC poleHodnotaJazyk
dc.contributor.authorTrnka, Pavel
dc.contributor.authorTrnková, Magdalena
dc.date.accessioned2023-02-13T11:00:21Z-
dc.date.available2023-02-13T11:00:21Z-
dc.date.issued2022
dc.identifier.citationTRNKA, P. TRNKOVÁ, M. Asset Management of Large Electric Machines through Monitoring of Electric Insulation. Acta Polytechnica Hungarica, 2022, roč. 19, č. 9, s. 85-102. ISSN: 1785-8860cs
dc.identifier.issn1785-8860
dc.identifier.uri2-s2.0-85139056822
dc.identifier.urihttp://hdl.handle.net/11025/51462
dc.format18 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherBudapest Tech Polytechnical Institutionen
dc.relation.ispartofseriesActa Polytechnica Hungaricaen
dc.rights© Budapest Tech Polytechnical Institutionen
dc.titleAsset Management of Large Electric Machines through Monitoring of Electric Insulationen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedDemanding requirements on the circular economy, cost savings, the effectiveness of the power grids operation press the operators of large electrical machines and other equipment to search for new methods of equipment management, maintenance, and renewal. At present, the management of important electrical machines is mostly related to offline concepts. This paper brings a summary of the current management practices and represents an introduction of a modern approach - Condition Based Management as well. For the large high voltage, electric machines are here proposed method of using aging models as a part of online diagnostic systems to estimate machine state. An example of the modeled use of condition-based modeling and residual life of insulating material is here presented. This approach should be employed in the employment of new renewable energy resources as well.en
dc.subject.translatedasset managementen
dc.subject.translatedresidual lifeen
dc.subject.translatedinsulating systemen
dc.subject.translatedaging modelen
dc.type.statusPeer-revieweden
dc.identifier.obd43937106
dc.project.IDEF18_069/0009855/Elektrotechnické technologie s vysokým podílem vestavěné inteligencecs
Vyskytuje se v kolekcích:Články / Articles (RICE)
Články / Articles (KET)
OBD

Soubory připojené k záznamu:
Soubor VelikostFormát 
Trnka_Trnkova_127.pdf698,79 kBAdobe PDFZobrazit/otevřít
Zobrazit minimální záznam Zobrazit statistiky


Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam: http://hdl.handle.net/11025/51462

Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.

hledání
navigace
  1. DSpace at University of West Bohemia
  2. Publikační činnost / Publications
  3. OBD