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Wind turbine main bearing fault prognosis based solely on SCADA data

Author
Encalada-Dávila, Á.; Puruncajas, B.; Tutivén, C.; Vidal, Y.
Type of activity
Journal article
Journal
Sensors
Date of publication
2021-03-23
Volume
21
Number
6
First page
2228/1
Last page
2228/22
DOI
10.3390/s21062228
Project funding
Development and validation of intelligent monitoring systems, pitch and structural damping control strategies for floating offshore wind turbines
Grup de recerca acreditat: Control, Modelització, Identificació i Aplicacions
Repository
http://hdl.handle.net/2117/343784 Open in new window
URL
https://www.mdpi.com/1424-8220/21/6/2228 Open in new window
Abstract
As stated by the European Academy of Wind Energy (EAWE), the wind industry has identified main bearing failures as a critical issue in terms of increasing wind turbine reliability and availability. This is owing to major repairs with high replacement costs and long downtime periods associated with main bearing failures. Thus, the main bearing fault prognosis has become an economically relevant topic and is a technical challenge. In this work, a data-based methodology for fault prognosis is prese...
Citation
Encalada-Dávila, Á. [et al.]. Wind turbine main bearing fault prognosis based solely on SCADA data. "Sensors", 23 Març 2021, vol. 21, núm. 6, p. 2228/1-2228/22.
Keywords
Fault prognosis, Main bearing, Normality model, Real SCADA data, Wind turbine
Group of research
CoDAlab - Control, Dynamics and Applications

Participants

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