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

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CIRED 2019 - 1924.pdf (523.82 KB)
Paper number
1924
Working Group Number
Conference name
CIRED 2019
Conference date
3-6 June 2019
Conference location
Madrid, Spain
Peer-reviewed
Yes
Short title
Convener
Authors
Faria, Joana, University of Coimbra, Portugal
Lima, 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.
Table of content
Keywords
Publisher
AIM
Date
2019-06-03
Published in
CIRED 2019 Conference
Permanent link to this record
https://cired-repository.org/handle/20.500.12455/650
http://dx.doi.org/10.34890/870
ISSN
2032-9644
ISBN
978-2-9602415-0-1