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

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    CIRED 2019 - 1924.pdf (523.8Kb)
    Paper number
    1924
    Conference name
    CIRED 2019
    Conference date
    3-6 June 2019
    Conference location
    Madrid, Spain
    Peer-reviewed
    Yes
    Metadata
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    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.
    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

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