Mostrar el registro sencillo del ítem
dc.contributor.author | Verginadis, Dimosthenis | es_ES |
dc.contributor.author | Antonino-Daviu, J. | es_ES |
dc.contributor.author | Karlis, Athanassios | es_ES |
dc.contributor.author | Danikas, Michael | es_ES |
dc.date.accessioned | 2023-08-30T18:00:08Z | |
dc.date.available | 2023-08-30T18:00:08Z | |
dc.date.issued | 2022-03 | es_ES |
dc.identifier.issn | 1077-2618 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/195759 | |
dc.description.abstract | [EN] Electrical Machines, and especially Synchronous Generators (SG), take a significant position in Power Generation plants and in Industry Production Lines and their unscheduled outages may have very negative repercussions. One of the main reasons for their failure relies on the degradation of their stator and rotor insulation systems. Although there are several industrial methods that are commonly used for diagnosing the health of such parts, some critical aspects remain unsolved. This paper reviews the different diagnostic methods and techniques that are most commonly used in practice to determine the condition of these two insulation systems in SG, emphasizing their respective drawbacks and analyzing their variants. Consequently, a case study on a SG operating in a Power Plant in Greece which illustrates the application of all these methods is presented. | es_ES |
dc.description.sponsorship | Part of this research was funded by Generalitat Valenciana, Conselleria de Educacion, Investigacion, Cultura y Deporte, under Grant AICO/2019/224. The authors of this article would like to thank Pericles Stratigopoulos, director of the Komotini Power Plant, Public Power Corporation S.A., Greece, for providing the pictures of the stator and rotor and the measurements for this SG. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Institute of Electrical and Electronics Engineers | es_ES |
dc.relation.ispartof | IEEE Industry Applications Magazine | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Electrical machines | es_ES |
dc.subject | Diagnostic techniques | es_ES |
dc.subject | Synchronous generator | es_ES |
dc.subject | Electrical insulation | es_ES |
dc.subject | Fault detection | es_ES |
dc.subject | Stator insulation system | es_ES |
dc.subject | Rotor insulation system | es_ES |
dc.subject.classification | INGENIERIA ELECTRICA | es_ES |
dc.title | Determination of the Insulation Condition in Synchronous Generators: Industrial Methods and Case Study | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1109/MIAS.2021.3114659 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//AICO%2F2019%2F224//TECNICAS AVANZADAS PARA LA MONITORIZACION FIABLE DEL ESTADO DEL AISLAMIENTO EN MOTORES ELECTRICOS INDUSTRIALES/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials | es_ES |
dc.description.bibliographicCitation | Verginadis, D.; Antonino-Daviu, J.; Karlis, A.; Danikas, M. (2022). Determination of the Insulation Condition in Synchronous Generators: Industrial Methods and Case Study. IEEE Industry Applications Magazine. 28(2):67-77. https://doi.org/10.1109/MIAS.2021.3114659 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1109/MIAS.2021.3114659 | es_ES |
dc.description.upvformatpinicio | 67 | es_ES |
dc.description.upvformatpfin | 77 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 28 | es_ES |
dc.description.issue | 2 | es_ES |
dc.relation.pasarela | S\437096 | es_ES |
dc.contributor.funder | GENERALITAT VALENCIANA | es_ES |
dc.relation.references | 10.1109/MEI.2020.9063559 | es_ES |
dc.relation.references | 10.1109/EIC.2016.7548692 | es_ES |
dc.relation.references | 10.1109/EIC.2011.5996186 | es_ES |
dc.relation.references | 10.1109/ICD.2016.7547775 | es_ES |
dc.relation.references | 10.1109/MEI.2013.6507409 | es_ES |
dc.relation.references | 10.1109/DEMPED.2015.7303689 | es_ES |
dc.relation.references | 10.1109/DEMPED.2017.8062396 | es_ES |
dc.relation.references | 10.1109/ELINSL.2012.6251476 | es_ES |
dc.relation.references | 10.1109/TEC.2005.853760 | es_ES |
dc.relation.references | 10.1109/UPEC.2016.8114057 | es_ES |
dc.relation.references | 10.1109/DEMPED.2017.8062343 | es_ES |
dc.relation.references | 10.1002/9781119260479 | es_ES |
dc.relation.references | 10.1109/WEMDCD.2013.6525181 | es_ES |
dc.relation.references | 10.1109/EIC.2011.5996158 | es_ES |
dc.relation.references | 10.1109/EIC.2011.5996156 | es_ES |
dc.relation.references | 10.1016/j.measurement.2014.09.034 | es_ES |
dc.relation.references | 10.3390/machines5040024 | es_ES |
dc.relation.references | 10.1109/WEMDCD.2019.8887815 | es_ES |
dc.relation.references | 10.1109/TIA.2016.2639014 | es_ES |
dc.relation.references | 10.1109/ICEM49940.2020.9270936 | es_ES |
dc.relation.references | 10.3390/en13195066 | es_ES |
dc.relation.references | 10.1109/DEMPED.2019.8864853 | es_ES |
dc.relation.references | 10.1109/TIA.2016.2544745 | es_ES |
dc.relation.references | 10.1109/TIE.2014.2375853 | es_ES |
dc.relation.references | 10.1016/j.measurement.2015.02.032 | es_ES |
dc.relation.references | 10.1109/MEI.2019.8689434 | es_ES |
dc.relation.references | 10.1109/WEMDCD.2017.7947758 | es_ES |
dc.relation.references | 10.1109/TDEI.2018.007083 | es_ES |
dc.relation.references | 10.1049/elp2.12031 | es_ES |
dc.relation.references | 10.1109/TIE.2008.2007527 | es_ES |
dc.relation.references | 10.1109/DEMPED.2007.4393106 | es_ES |
dc.relation.references | 10.1109/TDEI.2013.6678855 | es_ES |
dc.relation.references | 10.1109/TEC.2019.2951528 | es_ES |
dc.relation.references | 10.1109/PECon.2012.6450316 | es_ES |
dc.relation.references | 10.1109/ELINSL.2010.5549737 | es_ES |
dc.relation.references | 10.1109/DIAGNOSTIKA.2018.8526096 | es_ES |
dc.relation.references | 10.1109/DEMPED.2015.7303700 | es_ES |
dc.relation.references | 10.1109/DEMPED.2017.8062409 | es_ES |
dc.relation.references | 10.1109/TEC.2006.874223 | es_ES |
dc.relation.references | 10.1109/Diagnostika49114.2020.9214655 | es_ES |
dc.relation.references | 10.1109/MEI.2012.6268437 | es_ES |
dc.relation.references | 10.3390/en10111694 | es_ES |
dc.relation.references | 10.1109/TDEI.2010.5595549 | es_ES |
dc.relation.references | 10.1109/TDEI.2019.008176 | es_ES |