Neural networks for condition monitoring of wind turbines

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2010

Autores

Roque Brandão (Autor) FEUP; José Beleza Carvalho (Autor) FEUP; F. Maciel Barbosa (Autor) FEUP

Ata de Conferência Internacional

Título: Proceedings - International Symposium: Modern Electric Power Systems, MEPS'10

International Symposium on Modern Electric Power Systems, MEPS'10

Wroclaw, 20 September 2010 through 22 September 2010

Indexação

Scopus - 0 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Outras ciências da engenharia e tecnologias

CORDIS: Ciências Tecnológicas

Outras Informações

ID Authenticus: P-008-0E7

Abstract (EN): Wind energy is the renewable energy source considered a hope in future as a clean and sustainable energy, as can be seen by the growing number of wind farms all over the world. With the huge proliferation of wind farms, as an alternative to the traditional fossil power generation, the economic issues dictate the necessity of monitoring systems to optimize the availability and profits. The relatively high cost of operation and maintenance associated to wind power is a major issue. Wind turbines are most of the time located in remote areas or located offshore and these factors increase the referred operation and maintenance cost. Good maintenance strategies are needed to increase the health management of wind turbines. The objective of this paper is to show the application of neural networks to analyze all the wind turbine information to identify possible future failures, based on previous information of the turbine. © 2011 Institute of Electrical Power.

Idioma: Inglês

Tipo (Avaliação Docente): Científica