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Damage diagnosis for offshore fixed wind turbines

Author
Agis, D.; Vidal, Y.; Pozo, F.
Type of activity
Journal article
Journal
Renewable energy and power quality journal
Date of publication
2019-07-01
Volume
17
Number
10
First page
366
Last page
370
DOI
10.24084/repqj17.313
Repository
http://hdl.handle.net/2117/167166 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...
Citation
Agis, D.; Vidal, Y.; Pozo, F. Damage diagnosis for offshore fixed wind turbines. "Renewable energy and power quality journal", 1 Juliol 2019, vol. 17, núm. 10, p. 366-370.
Keywords
Damage diagnosis, Structural health monitoring, Wind turbine
Group of research
CoDAlab - Control, Dynamics and Applications

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