Abstract
This paper presents an exploratory study using statistical and IA techniques in the partial discharge database located in Vila do Conde substation, Barcarena, Pará state, Brazil, ELETRONORTE property. Through ambiental and system variables analysis, it was possible to identify that the 230kV reactive power and period of day have a strong relation to partial discharge measures. With the obtained knowlegde and specialists knowlegde, a initial fuzzy system is proposed for partial discharge classification in diferents operational situations of alert, contributing to the operational status diagnosis of power transformers and amplifying the knowledge about the theme.
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Kudo Yasojima, C.T., Seribeli Furmigare, M., de Souza Brasil, F., de Oliveira, T.F., da Silveira, A.M. (2013). Partial Discharge Analysis and Inspection Alert Generation in High Power Transformers: A Case Study of an Autotransformer Bank at Eletrobrás-ELETRONORTE Vila do Conde Station. In: Perner, P. (eds) Machine Learning and Data Mining in Pattern Recognition. MLDM 2013. Lecture Notes in Computer Science(), vol 7988. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39712-7_28
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DOI: https://doi.org/10.1007/978-3-642-39712-7_28
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