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Damage diagnosis for offshore fixed wind turbines

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10.24084/repqj16.200
 
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Agis Cherta, DavidMés informacióMés informació
Vidal Seguí, YolandaMés informacióMés informacióMés informació
Pozo Montero, FrancescMés informacióMés informacióMés informació
Document typeConference report
Defense date2019
Rights accessOpen Access
Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
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 healthy structure and the current structure to diagnose given a known excitation). However, in this work, as the strategy is designed for wind turbines, only the output data from the sensors is used but the excitation is assumed unknown (as in reality is provided by the wind). The proposed methodology is tested in an experimental laboratory tower modeling an offshore-fixed jacked-type wind turbine. The obtained results show the reliability of the proposed approach
CitationAgis, D.; Vidal, Y.; Pozo, F. Damage diagnosis for offshore fixed wind turbines. A: International Conference on Renewable Energies and Power Quality. "Renewable Energy and Power Quality Journal (RE&PQJ): Tenerife, Spain: April 10-12, 2019". , p. 1-5. 
URIhttp://hdl.handle.net/2117/132097
DOI10.24084/repqj16.200
ISBN2172-038X
Other identifiershttp://www.icrepq.com/icrepq19/313-19-agis.pdf
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