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Advisor(s)
Abstract(s)
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.
Description
Keywords
Wind energy Neural networks Condition monitoring Maintenance
Citation
Publisher
David Publishing Company