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Trends in condition monitoring of pitch bearings
dc.contributor.author | Sandoval Núñez, Diego Aníbal |
dc.contributor.author | Leturiondo, Urko |
dc.contributor.author | Pozo Montero, Francesc |
dc.contributor.author | Vidal Seguí, Yolanda |
dc.contributor.author | Salgado, Óscar |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Matemàtiques |
dc.date.accessioned | 2019-09-27T12:50:39Z |
dc.date.available | 2019-09-27T12:50:39Z |
dc.date.issued | 2019 |
dc.identifier.citation | Sandoval, 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.uri | http://hdl.handle.net/2117/168840 |
dc.description.abstract | The 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.extent | 12 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística |
dc.subject.lcsh | Wind power |
dc.title | Trends in condition monitoring of pitch bearings |
dc.type | Conference report |
dc.subject.lemac | Energia eòlica |
dc.contributor.group | Universitat Politècnica de Catalunya. CoDAlab - Control, Modelització, Identificació i Aplicacions |
dc.identifier.doi | 10.1784/cm.2019.113 |
dc.rights.access | Open Access |
local.identifier.drac | 25624131 |
dc.description.version | Postprint (published version) |
local.citation.author | Sandoval, D.; Leturiondo, U.; Pozo, F.; Vidal, Y.; Salgado, Ó. |
local.citation.contributor | International Conference on Condition Monitoring and Asset Management |
local.citation.publicationName | Proceedings of the Sixteenth International Conference on Condition Monitoring and Asset Management |
local.citation.startingPage | 1 |
local.citation.endingPage | 12 |