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dc.contributor | Universitat Politècnica de Catalunya. Departament de Matemàtiques |
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dc.contributor | Universitat Politècnica de Catalunya. CoDAlab - Control, Modelització, Identificació i Aplicacions |
dc.contributor.author | Pozo Montero, Francesc |
dc.contributor.author | Vidal Seguí, Yolanda |
dc.contributor.author | Salgado, Óscar |
dc.date | 2018-03-26 |
dc.identifier.citation | Pozo, F., Vidal, Y., Salgado, Ó. Wind turbine condition monitoring strategy through multiway PCA and multivariate inference. "Energies", 26 Març 2018, vol. 11, núm. 4, p. 749-768. |
dc.identifier.citation | 1996-1073 |
dc.identifier.citation | 10.3390/en11040749 |
dc.identifier.uri | http://hdl.handle.net/2117/116241 |
dc.language.iso | eng |
dc.relation | http://www.mdpi.com/1996-1073/11/4/749 |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights | info:eu-repo/semantics/openAccess |
dc.rights | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Energies |
dc.subject | Wind turbines |
dc.subject | Structural health monitoring |
dc.subject | Principal components analysis |
dc.subject | wind turbine |
dc.subject | condition monitoring |
dc.subject | fault detection |
dc.subject | principal component analysis |
dc.subject | multivariate statistical hypothesis testing |
dc.subject | Turbines |
dc.title | Wind turbine condition monitoring strategy through multiway PCA and multivariate inference |
dc.type | info:eu-repo/semantics/publishedVersion |
dc.type | info:eu-repo/semantics/article |
dc.description.abstract | |
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