Condition monitoring of the wind turbine generator slip ring

• Type: Article in International Conference Proceedings Book
• Date: 2012

Authors

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

Conference proceedings International

Title: Proceedings of the Universities Power Engineering Conference

2012 47th International Universities Power Engineering Conference, UPEC 2012

London, 4 September 2012 through 7 September 2012

Indexing

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

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.

Language: English

Type (Professor's evaluation): Scientific