Wind Turbine Fault Detection: an Unsupervised vs Semi-Supervised Approach

The need for renewable energy has been growing in recent years for the reasons we all know, wind power is no exception. Wind turbines are complex and expensive structures and the need for maintenance exists. Conditioning Monitoring Systems that make use of supervised machine learning techniques have...

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Detalhes bibliográficos
Autor principal: Cabanas, Dinis Costa (author)
Formato: masterThesis
Idioma:eng
Publicado em: 2021
Assuntos:
outlier detection
wind turbine fault detection
semi-supervised methods
fuzzy clustering
evaluation measures
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
Texto completo:http://hdl.handle.net/10362/118281
País:Portugal
Oai:oai:run.unl.pt:10362/118281

Texto Completo

http://hdl.handle.net/10362/118281

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