Please use this identifier to cite or link to this item:
Title: Neural Networks for Condition Monitoring of Wind Turbines Gearbox
Authors: Fernando Maciel Barbosa
R. F. Mesquita Brandão
J. Beleza Carvalho
Issue Date: 2012
Abstract: Wind energy is considered a hope in future as a clean and sustainable energy, as can be seen by the growing number of wind farms installed 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 offshore and these factors increase the referred operation and maintenance costs. 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.
metadata.dc.type: article
Appears in Collections:CPES - Indexed Articles in Journals

Files in This Item:
File Description SizeFormat 
PS-07965.pdf861.9 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.