Forecast Model Update Based on a Real-Time Data Processing Lambda Architecture for Estimating Partial Discharges in Hydrogenerator

The prediction of partial discharges in hydrogenerators depends on data collected by sensors and prediction models based on artificial intelligence. However, forecasting models are trained with a set of historical data that is not automatically updated due to the high cost to collect sensors’ data a...

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Detalles Bibliográficos
Autores principales: Pereira, Fabio Henrique, Bezerra, Francisco Elânio, Oliva, Diego, de Souza, G.F.M., Chabu, Ivan Eduardo, Santos, Josemir Coelho, Junior, Shigueru Nagao, Nabeta, Silvio Ikuyo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765954/
https://www.ncbi.nlm.nih.gov/pubmed/33348733
http://dx.doi.org/10.3390/s20247242

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765954/
https://www.ncbi.nlm.nih.gov/pubmed/33348733
http://dx.doi.org/10.3390/s20247242

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