Neural networks for condition monitoring of wind turbines

• Type: Article in International Conference Proceedings Book
• Date: 2010

Authors

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

Conference proceedings International

Title: 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

Indexing

Scopus - 0 Citations

Scientific classification

FOS: Engineering and technology > Other engineering and technologies

CORDIS: Technological sciences

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific