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Multivariable Analysis for Advanced Analytics of Wind Turbine Management

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Date
2016-08-24
Author
Pliego Marugán, Alberto
García Márquez, Fausto Pedro
Papaelias, Mayorkinos
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Abstract
Operation and maintenance tasks on the wind turbines have an essen- tial role to ensure the correct condition of the system and to minimize losses and increase the productivity. The condition monitoring systems installed on the main components of the wind turbines provide information about the tasks that should be carried out over the time. A novel statistical methodology for multivariable analysis of big data from wind turbines is presented in this paper. The objective is to analyse the necessary information from the condition monitoring systems installed in wind farms. The novel approach filters the main parameters from the collected signals and uses advanced computational techniques for evaluating the data and giving mean- ing to them. The main advantage of the approach is the possibility of the big data analysis based on the main information available.
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http://hdl.handle.net/10578/12193
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© Universidad de Castilla-La Mancha
Rectorado
C/ Altagracia, 50 13071
Ciudad Real Tfno. 926 29 53 00
Fax: 926 29 53 01

Copyright | Documentation | Other Resources | Contact Us
Ruidera

¿RUIdeRA?

Federcc
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