Forecast of faults in a wind turbine gearbox

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2012

Autores

Roque Brandão (Autor) FEUP; José Carvalho (Autor) FEUP; Fernando Maciel Barbosa (Autor) FEUP

Ata de Conferência Internacional

Título: Proceedings of 9th International Conference, ELEKTRO 2012

Páginas: 170-173

9th International Conference on ELEKTRO 2012

Zilina - Rajecke Teplice, 21 May 2012 through 22 May 2012

Indexação

Scopus - 1 Citação

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia electrotécnica

Outras Informações

ID Authenticus: P-008-56P

DOI: 10.1109/elektro.2012.6225632

Abstract (EN): The maintenance costs associated with wind turbines assumes an important weight in the operation of wind parks. The main objective of wind farms operators is to run their parks most economically, to increase their profits. An adequate maintenance planning is essential to an effective operating costs reduction, compared with traditional maintenance techniques. Tools to detect the onset of mechanical and electrical faults in wind turbines at a sufficiently early stage are very important for well planned maintenance actions, because these actions can reduce the outage time and can prevent bigger faults that can lead to machine outage. The amount of information obtained from SCADA systems of wind farms is huge. The use of neural networks to deal with all the information and try to detect faults in some equipment in a early stage is a promising technique. © 2012 IEEE.

Idioma: Inglês

Tipo (Avaliação Docente): Científica