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dc.contributor.authorSandoval, Diego
dc.contributor.authorLeturiondo, Urko
dc.contributor.authorPozo Montero, Francesc
dc.contributor.authorVidal Seguí, Yolanda
dc.contributor.authorSalgado, Óscar
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtiques
dc.date.accessioned2019-09-27T12:50:39Z
dc.date.available2019-09-27T12:50:39Z
dc.date.issued2019
dc.identifier.citationSandoval, D. [et al.]. Trends in condition monitoring of pitch bearings. A: International Conference on Condition Monitoring and Asset Management. "Proceedings of the Sixteenth International Conference on Condition Monitoring and Asset Management". 2019, p. 1-12.
dc.identifier.urihttp://hdl.handle.net/2117/168840
dc.description.abstractThe value of wind power generation for energy sustainability in the future is undeniable. Since operation and maintenance activities take a sizeable portion of the cost associated with offshore wind turbines operation, strategies are needed to decrease this cost. One strategy, condition monitoring (CM) of wind turbines, allows the extension of useful life for several parts, which has generated great interest in the industry. One critical part are the pitch bearings, by virtue of the time and logistics involved in their maintenance tasks. As the complex working conditions of pitch bearings entail the need for diverse and innovative monitoring techniques, the classical bearing analysis techniques are notsuitable. This paper provides a literature review of several condition monitoring techniques, organized as follows: first, arranged according to the nature of the signal such as vibration, acoustic emission and others; second, arranged by relevant authors in compliance with signal nature. While little research has been found, an outline is significant for further contributions to the literature.
dc.format.extent12 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística
dc.subject.lcshWind power
dc.titleTrends in condition monitoring of pitch bearings
dc.typeConference report
dc.subject.lemacEnergia eòlica
dc.contributor.groupUniversitat Politècnica de Catalunya. CoDAlab - Control, Modelització, Identificació i Aplicacions
dc.identifier.doi10.1784/cm.2019.113
dc.rights.accessOpen Access
local.identifier.drac25624131
dc.description.versionPostprint (published version)
local.citation.authorSandoval, D.; Leturiondo, U.; Pozo, F.; Vidal, Y.; Salgado, Ó.
local.citation.contributorInternational Conference on Condition Monitoring and Asset Management
local.citation.publicationNameProceedings of the Sixteenth International Conference on Condition Monitoring and Asset Management
local.citation.startingPage1
local.citation.endingPage12


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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