Publication
Neural networks for condition monitoring of wind turbines gearbox
| dc.contributor.author | Brandão, Roque Filipe Mesquita | |
| dc.contributor.author | Carvalho, José Beleza | |
| dc.contributor.author | Barbosa, Fernando Maciel | |
| dc.date.accessioned | 2014-02-14T15:15:17Z | |
| dc.date.available | 2014-02-14T15:15:17Z | |
| dc.date.issued | 2012 | |
| dc.description.abstract | Wind energy is considered a hope in future as a clean and sustainable energy, as can be seen by the growing number of wind farms installed all over the world. With the huge proliferation of wind farms, as an alternative to the traditional fossil power generation, the economic issues dictate the necessity of monitoring systems to optimize the availability and profits. The relatively high cost of operation and maintenance associated to wind power is a major issue. Wind turbines are most of the time located in remote areas or offshore and these factors increase the referred operation and maintenance costs. Good maintenance strategies are needed to increase the health management of wind turbines. The objective of this paper is to show the application of neural networks to analyze all the wind turbine information to identify possible future failures, based on previous information of the turbine. | por |
| dc.identifier.doi | 10.17265/1934-8975/2012.04.017 | pt_PT |
| dc.identifier.issn | 1934-8975 | |
| dc.identifier.uri | http://hdl.handle.net/10400.22/3894 | |
| dc.language.iso | eng | por |
| dc.peerreviewed | yes | por |
| dc.publisher | David Publishing Company | por |
| dc.relation.ispartofseries | Journal of Energy and Power Engineering; Vol. 6, Issue 4 | |
| dc.relation.publisherversion | https://www.davidpublisher.com/index.php/Home/Article/index?id=19502.html | por |
| dc.subject | Wind energy | por |
| dc.subject | Neural networks | por |
| dc.subject | Condition monitoring | por |
| dc.subject | Maintenance | por |
| dc.title | Neural networks for condition monitoring of wind turbines gearbox | por |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | Estados Unidos da América | por |
| oaire.citation.endPage | 644 | por |
| oaire.citation.issue | Issue 4 | por |
| oaire.citation.startPage | 638 | por |
| oaire.citation.title | Journal of Energy and Power Engineering | por |
| oaire.citation.volume | Vol. 6 | por |
| rcaap.rights | openAccess | por |
| rcaap.type | article | por |