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

Article

Abstract: Failures in the main bearings of wind turbines are critical in terms of downtime and replacement cos

Palabras claves:

Anomaly detection, Early fault detection, gated recurrent unit (GRU) neural network (NN), Main bearing, supervisory control and data acquisition (SCADA) data, wind turbine (WT)

Autores:

Ángel Encalada-Dávila, Bryan Puruncajas, Christian Tutivén Gálvez, Moyón L., Vidal Y.

Fuentes:

google

scopus