1. Repositório Aberto da Universidade do Porto
  2. FEUP - Faculdade de Engenharia
  3. FEUP - Dissertação
Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/106400
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dc.creatorJoão Miguel Guimarães Fidalgo Roque
dc.date.accessioned2025-11-07T13:39:12Z-
dc.date.available2025-11-07T13:39:12Z-
dc.date.issued2017-07-07
dc.date.submitted2017-09-01
dc.identifier.othersigarra:205341
dc.identifier.urihttps://hdl.handle.net/10216/106400-
dc.descriptionThe objective of this thesis is to estimate failures of wind turbine generators, using real data. It will seek to predict the failure and model it's reliability. In order to achieve this goal, machine learning algorithms, such as neural networks, support vector machines and decision trees will be used.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectEngenharia electrotécnica, electrónica e informática
dc.subjectElectrical engineering, Electronic engineering, Information engineering
dc.titleEstimating wind turbine generators failures using machine learning
dc.typeDissertação
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.doi10.34626/d9xr-mx50
dc.identifier.tid201799138
dc.subject.fosCiências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática
dc.subject.fosEngineering and technology::Electrical engineering, Electronic engineering, Information engineering
thesis.degree.disciplineMestrado Integrado em Engenharia Electrotécnica e de Computadores
thesis.degree.grantorFaculdade de Engenharia
thesis.degree.grantorUniversidade do Porto
thesis.degree.level1
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