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.
The paper was supported by the Polish Ministry of Science and Higher Education under Grant No. N504 147838.
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Barszcz, T., Bielecka, M., Bielecki, A., Wójcik, M. (2011). Wind Turbines States Classification by a Fuzzy-ART Neural Network with a Stereographic Projection as a Signal Normalization. In: Dobnikar, A., Lotrič, U., Šter, B. (eds) Adaptive and Natural Computing Algorithms. ICANNGA 2011. Lecture Notes in Computer Science, vol 6594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20267-4_24
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DOI: https://doi.org/10.1007/978-3-642-20267-4_24
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