Condition monitoring of the wind turbine generator slip ring

• 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 the Universities Power Engineering Conference

2012 47th International Universities Power Engineering Conference, UPEC 2012

London, 4 September 2012 through 7 September 2012

Indexação

Scopus - 0 Citações

Classificação Científica

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

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia electrotécnica

Outras Informações

ID Authenticus: P-008-8V4

DOI: 10.1109/upec.2012.6398673

Abstract (EN): The huge proliferation of wind farms across the world has arisen as an alternative to the traditional power generation and as a result of economic issues which necessitate monitoring systems in order to optimize availability and profits too. Equipments inside a wind turbine are subject to failures which, most of times lead to long downtime periods. When wind turbine is not running due to a failure, no profits are added and operation and maintenance costs increases. The development of advanced techniques to detect the onset of mechanical and electrical faults in wind turbines at a sufficiently early stage is very important for maintenance actions. Neural networks can be used to detect failures in some equipments of wind turbines, but to use them is necessary to create a model to the equipment under surveillance. The training of the neural network represents the big handicap of the developed method that will be presented here. However, after solving this problem, results are very interesting, and failures can be detected with several months in advance. © 2012 IEEE.

Idioma: Inglês

Tipo (Avaliação Docente): Científica