Main Bearing Fault Prognosis in Wind Turbines based on Gated Recurrent Unit Neural Networks 29 de xul. de 2022

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Main Bearing Fault Prognosis in Wind Turbines based on Gated Recurrent Unit Neural Networks

i18n.one.Series: 20th International Conference on Renewable Energy and Power Quality - ICREPQ'22
Presenta: Abdullah Alwadie
A. Encalada-Dávila
Mechatronics Engineering, Faculty of Mechanical Engineering and Production Science, FIMCP, Escuela Superior Politécnica del Litoral, ESPOL, Guayaquil. Ecuador
C. Tutivén
Mechatronics Engineering, Faculty of Mechanical Engineering and Production Science, FIMCP, Escuela Superior Politécnica del Litoral, ESPOL, Guayaquil. Ecuador
Luis Moyón
Universidad ECOTEC. Ecuador
B. Puruncajas
Mechatronics Engineering, Faculty of Mechanical Engineering and Production Science, FIMCP, Escuela Superior Politécnica del Litoral, ESPOL, Guayaquil. Ecuador
Y. Vidal
Control, Modeling, Identification and Applications, CoDAlab, Department of Mathematics, Escola d’Enginyeria de Barcelona Est, EEBE, Universitat Politècnica de Catalunya, UPC. Spain eInstitut de Matemàtiques de la UPC - BarcelonaTech, IMTech. Spain

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