Avaliação de métodos para detecção de descargas parciais em transformadores

Fernando G. K. Guarda; Aécio de Lima Oliveira; João Vitor Maccari Brabo Castro; Artur Dala Nora Quatrin; Kaynan Maresch; Guilherme Dhein; Ghendy Cardoso Jr.; Cristian Hans Corrêa; Erick Finzi Martins

doi:10.20906/sbse.v2i1.2934

Fernando G. K. Guarda Colégio Técnico Industrial de Santa Maria, RS
Aécio de Lima Oliveira Universidade Federal de Santa Maria, RS
João Vitor Maccari Brabo Castro Universidade Federal de Santa Maria, RS, Brazil, CEESP-LAPES
Artur Dala Nora Quatrin Universidade Federal de Santa Maria, RS, Brazil, CEESP-LAPES
Kaynan Maresch Universidade Federal de Santa Maria, RS, Brazil, CEESP-LAPES
Guilherme Dhein Colégio Técnico Industrial de Santa Maria, RS
Ghendy Cardoso Jr. Universidade Federal de Santa Maria, RS
Cristian Hans Corrêa CPFL Transmissão, Porto Alegre
Erick Finzi Martins CPFL Transmissão, Porto Alegre

DOI: https://doi.org/10.20906/sbse.v2i1.2934

Keywords: Partial Discharges, Transformers, Ultrasound, Artificial Intelligence, Wavelet Transform

Abstract

In this paper, several methods for detecting partial discharges in transformers will be discussed. The occurrence of partial discharges in electrical equipment is of great concern to energy companies, as they are defects that are often not noticeable during a visual inspection. This causes the partial discharge to evolve into a more severe defect, often causing the need to remove equipment from service. The different methods for detecting partial discharges will be discussed and their characteristics and applicability will be investigated. In addition, the main advantages and disadvantages of each method will be presented.