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Damage diagnosis for offshore fixed wind turbines

Author
Agis, D.; Vidal, Y.; Pozo, F.
Type of activity
Presentation of work at congresses
Name of edition
International Conference on Renewable Energies and Power Quality 2019
Date of publication
2019
Presentation's date
2019-04-11
Book of congress proceedings
Renewable Energy and Power Quality Journal (RE&PQJ): Tenerife, Spain: April 10-12, 2019
First page
1
Last page
5
DOI
10.24084/repqj16.200
Project funding
2017 SGR 388: Control, Modelitzacio´, Identificacio´ i Aplicacions (CoDAlab)
Development and validation of intelligent monitoring systems, pitch and structural damping control strategies for floating offshore wind turbines
Repository
http://hdl.handle.net/2117/132097 Open in new window
http://www.icrepq.com/icrepq19/313-19-agis.pdf Open in new window
Abstract
This paper proposes a damage diagnosis strategy to detect and classify different type of damages in a laboratory offshore-fixed wind turbine model. The proposed method combines an accelerometer sensor network attached to the structure with a conceived algorithm based on principal component analysis (PCA) with quadratic discriminant analysis (QDA). The paradigm of structural health monitoring can be undertaken as a pattern recognition problem (comparison between the data collected from the health...
Keywords
Damage diagnosis, Structural health monitoring, Wind turbine
Group of research
CoDAlab - Control, Dynamics and Applications

Participants