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