Smart Distribution Transformers: Non-Invasive Sensing to Enable Business Transformation

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dc.contributor.affiliationUniversity of Coimbra
dc.contributor.affiliationUniversity of Coimbra
dc.contributor.affiliationeneida.io
dc.contributor.affiliationEneida.IO
dc.contributor.affiliationUniversity of Coimbra
dc.contributor.authorFaria, Joana
dc.contributor.authorLima, David
dc.contributor.authorOliveira, Luís
dc.contributor.authorOliveira, José
dc.contributor.authorCardoso, Francisco
dc.contributor.countryPortugal
dc.contributor.countryPortugal
dc.contributor.countryPortugal
dc.contributor.countryPortugal
dc.contributor.countryPortugal
dc.contributor.detailedauthorFaria, Joana, University of Coimbra, Portugal
dc.contributor.detailedauthorLima, David, University of Coimbra, Portugal
dc.contributor.detailedauthorOliveira, Luís, eneida.io, Portugal
dc.contributor.detailedauthorOliveira, José, Eneida.IO, Portugal
dc.contributor.detailedauthorCardoso, Francisco, University of Coimbra, Portugal
dc.date.accessioned2019-07-24T12:46:18Z
dc.date.available2019-07-24T12:46:18Z
dc.date.conferencedate3-6 June 2019
dc.date.issued2019-06-03
dc.description.abstractThe solution presented here addresses the condition monitoring and diagnosis of distribution transformers, with analytics for decision support to investment planning and predictive maintenance throughout the life-span of each and every installed distribution transformer. Automated diagnosis enabled by real-time condition monitoring of transformers paves the way for new ways to manage transformer fleets with operational efficiency improvements and business innovative opportunities.
dc.description.conferencelocationMadrid, Spain
dc.description.conferencenameCIRED 2019
dc.description.openaccessYes
dc.description.peerreviewedYes
dc.description.sessionNetwork components
dc.description.sessionidSession 1
dc.identifier.isbn978-2-9602415-0-1
dc.identifier.issn2032-9644
dc.identifier.urihttps://cired-repository.org/handle/20.500.12455/650
dc.identifier.urihttp://dx.doi.org/10.34890/870
dc.language.isoen
dc.publisherAIM
dc.relation.ispartProc. of the 25th International Conference on Electricity Distribution (CIRED 2019)
dc.relation.ispartofseriesCIRED Conference Proceedings
dc.titleSmart Distribution Transformers: Non-Invasive Sensing to Enable Business Transformation
dc.title.number1924
dc.typeConference Proceedings
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