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Condition monitoring of the wind turbine generator slip ring

Title
Condition monitoring of the wind turbine generator slip ring
Type
Article in International Conference Proceedings Book
Year
2012
Authors
Roque Brandão
(Author)
FEUP
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José Carvalho
(Author)
FEUP
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Fernando Maciel Barbosa
(Author)
FEUP
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Conference proceedings International
2012 47th International Universities Power Engineering Conference, UPEC 2012
London, 4 September 2012 through 7 September 2012
Indexing
Publicação em Scopus Scopus - 0 Citations
Scientific classification
FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering
CORDIS: Technological sciences > Engineering > Electrical engineering
Other information
Authenticus ID: P-008-8V4
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.
Language: English
Type (Professor's evaluation): Scientific
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