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...

Full description

Bibliographic Details
Main Author: Cabanas, Dinis Costa (author)
Format: masterThesis
Language:eng
Published: 2021
Subjects:
outlier detection
wind turbine fault detection
semi-supervised methods
fuzzy clustering
evaluation measures
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
Online Access:http://hdl.handle.net/10362/118281
Country:Portugal
Oai:oai:run.unl.pt:10362/118281

Internet

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

Similar Items