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Intelligent Ultrasound Processing Applied to Insulation Pollution Estimation T. V. Ferreira¹, P. B. Vilar¹, J. F. Araújo¹, M. A. O. Rodrigues¹, F. L. M. Andrade¹, E. G., Costa¹ F. S. Moreira², J. N. Caminha Filho², W. R. de Lima² ¹Federal University of Campina Grande, Brazil 882 Aprígio Veloso St. Campina Grande, PB 58429-900 Brazil ²TermoPernambuco S.A., Brazil Portuária Av., Suape Port Complex Ipojuca, PE 55590-972 Brazil This paper presents field results for a pollution estimation Abstract- This paper presents field results for a pollution system based on ultrasound noise and Statistical Auto- estimation system based on ultrasound noise and Statistical Auto- Associative Artificial Neural Networks (SA³N²). This system Associative Artificial Neural Networks (SA³N²). The system proved to be functional under laboratory conditions, and extracts spectral information from the ultrasonic noise emitted extracts spectral information from the ultrasonic noise emitted by the corona discharges that occur nearby electric insulation, then correlates this information to a previously known pollution by the corona discharges that occur nearby el
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