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Health condition assessment of transformers based on cross message passing graph neural networks

A method is proposed to assess the health condition of transformers based on cross message passing graph neural networks (CMPGNNs) in this paper. In order to improve the accuracy of transformer health condition assessment, multiple indicators and their strong correlation are taken into account. The...

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Bibliografische gegevens
Hoofdauteurs: DianSheng Luo, RuiYao Xi, LiXuan Che, HongYing He
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Frontiers Media S.A. 2022-09-01
Reeks:Frontiers in Energy Research
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Online toegang:https://www.frontiersin.org/articles/10.3389/fenrg.2022.973736/full
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