Wind turbine fault detection based on the transformer model using SCADA data
Author:
Funder
Federación Española de Enfermedades Raras
Junta de Comunidades de Castilla-La Mancha
Publisher
Elsevier BV
Reference79 articles.
1. Wind energy conversions, controls, and applications: A review for sustainable technologies and directions;Hannan;Sustainability,2023
2. A review on failure modes of wind turbine components;Olabi;Energies,2021
3. Using SCADA data for wind turbine condition monitoring: A systematic literature review;Maldonado-Correa;Energies,2020
4. Wind turbine gearbox condition monitoring and fault diagnosis based on multi-sensor information fusion of SCADA and DSER-PSO-WRVM method;Dameshghi;Int. J. Model. Simul.,2019
5. Wind turbine reliability: A comprehensive review towards effective condition monitoring development;Artigao;Appl. Energy,2018
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