Publication:
A statistical analysis of predictive maintenance tests on synthetic ester-filled railway transformers

dc.affiliation.dptoUC3M. Departamento de Ingeniería Eléctricaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Diagnóstico de Máquinas Eléctricas y Materiales Aislantes (DIAMAT)es
dc.contributor.authorSorrentino, Elmer
dc.contributor.authorGarcía de Burgos, María Belén
dc.contributor.authorUrquiza Cuadros, Domingo Javier
dc.contributor.authorGarcía Gómez, Diego F.
dc.contributor.funderAgencia Estatal de Investigación (España)es
dc.contributor.funderEuropean Commissionen
dc.date.accessioned2024-04-29T11:53:43Z
dc.date.available2024-04-29T11:53:43Z
dc.date.issued2023
dc.description.abstractThe use of natural and synthetic esters as transformer liquid insulation has increased significantly in the last 15 years. These insulating liquids have much higher flash points than mineral oils, reducing the fire risk of transformers. Moreover, esters are biodegradable materials and their use limits the environmental damages and risks in case of a leak into the ground or water. For this reason, synthetic esters are often used in transformers for electrical trains and offshore windmills. Despite the advantages offered by natural and synthetic esters, there are challenges for their generalized use, such as the scarce information available on the interpretation of the predictive maintenance tests. This paper provides a statistical analysis carried out on a database of oil analysis on railway transformers. Reference values are calculated for several maintenance tests as dissolved oil gas analysis or physical-chemical properties of the oil. One part of the tests corresponds to synthetic ester-filled transformers, while the other part is from mineral oil-filled units. All the transformers are installed in Spanish high-speed trains. The percentiles 90, 95 and 98 were calculated for the key gases, furanic compounds and physical-chemical properties of oils. The typical increase rates for the key gases were also obtained.en
dc.description.sponsorshipAuthors acknowledge Antonio Quintero (CEIS, Spain) for his valuable help. This work was supported in part by the Spanish State Research Agency under Grant PID2019-107126RB-C21/ AEI/10.13039/501100011033 and in part by the European Union Horizon 2020 Research and Innovation Program, under Grant 823969en
dc.format.extent5
dc.identifier.bibliographicCitationSorrentino, E., García, B., Urquiza, D., García Gómez, D. F. (6-9 June 2023). A statistical analysis of predictive maintenance tests on synthetic ester-filled railway transformers [proceedings]. 2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), Madrid.en
dc.identifier.doihttps://doi.org/10.1109/EEEIC/ICPSEurope57605.2023.10194760
dc.identifier.isbn979-8-3503-4743-2
dc.identifier.publicationtitle2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)en
dc.identifier.urihttps://hdl.handle.net/10016/43873
dc.identifier.uxxiCC/0000034718
dc.language.isoengen
dc.publisherIEEEen
dc.relation.eventdateMadrid (España)es
dc.relation.eventplace06-09/06/2023
dc.relation.eventtitle2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)en
dc.relation.projectIDGobierno de España. PID2019-107126RB-C21
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/823969/
dc.rights© 2023 IEEEen
dc.rights.accessRightsopen accessen
dc.subject.ecienciaElectrónicaes
dc.subject.ecienciaIngeniería Industriales
dc.subject.ecienciaIngeniería Mecánicaes
dc.subject.ecienciaMaterialeses
dc.subject.otherTransformer maintenanceen
dc.subject.otherDgaen
dc.subject.otherRailway transformeren
dc.subject.otherSynthetic esteren
dc.subject.otherFuranic compoundsen
dc.subject.otherPhysic-chemical testsen
dc.subject.otherReference valuesen
dc.titleA statistical analysis of predictive maintenance tests on synthetic ester-filled railway transformersen
dc.typeconference proceedingsen
dc.type.hasVersionAMen
dspace.entity.typePublicationen
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relation.isAuthorOfPublication.latestForDiscoveryd6a0bfb9-5d6f-4ac5-bce8-b82ef06e088f
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