WIT Press


Identification Of Blade Vibration Causes In Wind Turbine Generators

Price

Free (open access)

Paper DOI

10.2495/DATA030151

Volume

29

Pages

10

Published

2003

Size

512 kb

Author(s)

P. R. J. Campbell & K. Adamson

Abstract

Identification of blade vibration causes in wind turbine generators P. R. J. Campbell & K. Adamson School of Computing and Mathematics, University of Ulster, UK Abstract For many years Data Mining techniques have been used to identify patterns and hidden information in datasets from a variety of domains. This paper will outline the initial application of DM techniques on a dataset from the Renewable Energy domain. For many years company's which operate wind farm sites have recorded and archived a range of data from numerous sources across wind farm sites and the wind turbine generators (WTG's) which make up these sites. The study presented in this paper encompasses a first phase of Knowledge Discovery from the dataset, making use of the complementary techniques Neural Networks (NN) and Rule Induction (RI). We discuss the challenges presented by the dataset in terms of selection and preparation of data and also introduce the format and meaning of data encompassed by the area of study, namely eff

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