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

  • Authors:

  • Carlos Takeshi Kudo Yasojima;Matheus Seribeli Furmigare;Fernando de Souza Brasil;Terezinha Ferreira de Oliveira;Antonio Morais da Silveira

  • Affiliations:

  • Science Computing Faculty, Pará Federal University, Belém, Brazil;Statistics Faculty, Pará Federal University, Belém, Brazil;Eletronorte Technology Center, Belém, Brazil;Statistics Faculty, Pará Federal University, Belém, Brazil;Science Computing Faculty, Pará Federal University, Belém, Brazil

  • Venue:
  • MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

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.