Wind turbines states classification by a fuzzy-ART neural network with a stereographic projection as a signal normalization

Abstract

In this paper wind turbines operational states classification is considered. The fuzzy-ART neural network is proposed as a classifying system. Applying of stereographic projection as an input signals normalization procedure is introduced. Both theoretical justification is discussed and results of experiments are presented. It turns out that the introduced normalization procedure improves classification results. © 2011 Springer-Verlag.