Early Fault Detection in the Main Bearing of Wind Turbines Based on Gated Recurrent Unit (GRU) Neural Networks and SCADA Data-Reference-Cited by-同舟云学术

Early Fault Detection in the Main Bearing of Wind Turbines Based on Gated Recurrent Unit (GRU) Neural Networks and SCADA Data

Published:2022-12 Issue:6 Volume:27 Page:5583-5593
ISSN:1083-4435
Container-title:IEEE/ASME Transactions on Mechatronics
language:
Short-container-title:IEEE/ASME Trans. Mechatron.

Author:

Encalada-Davila Angel¹^ORCID,Moyon Luis²^ORCID,Tutiven Christian¹^ORCID,Puruncajas Bryan¹,Vidal Yolanda³^ORCID

Affiliation:

1. Faculty of Mechanical Engineering and Production Science, FIMCP, Department of Mechatronics Engineering, Escuela Superior Politécnica del Litoral, ESPOL, Guayaquil, Ecuador

2. Mecatrónica, Facultad de Ingenierías, Universidad Ecotec, Km. 13.5 Vía a Samborondón, Guayaquil, Ecuador

3. Research Group of Control, Data, and Artificial Intelligence (CoDAlab), Department of Mathematics, Escola d’Enginyeria de Barcelona Est (EEBE), Universitat Politècnica de Catalunya (UPC), Barcelona, Spain

Funder

Spanish Agencia Estatal de Investigación

Ministerio de Economía, Industria y Competitividad

European Regional Development Fund

Generalitat de Catalunya

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/3516/9985402/09823312.pdf?arnumber=9823312

Reference29 articles.