Smart Distribution Transformers: Non-Invasive Sensing to Enable Business Transformation
Paper number
1924Conference name
CIRED 2019Conference date
3-6 June 2019Conference location
Madrid, SpainPeer-reviewed
YesMetadata
Show full item recordAuthors
Faria, Joana, University of Coimbra, PortugalLima, David, University of Coimbra, Portugal
Oliveira, Luís, eneida.io, Portugal
Oliveira, José, Eneida.IO, Portugal
Cardoso, Francisco, University of Coimbra, Portugal
Abstract
The 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.Publisher
AIMDate
2019-06-03Published in
Permanent link to this record
https://cired-repository.org/handle/20.500.12455/650http://dx.doi.org/10.34890/870