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Proceeding Paper

A Feasibility Study of the Application of Signal Processing Techniques to Corona Discharge Characterization on HVDC Systems †

by
Gabriel Augusto David
1,
Pedro Oliveira Conceição Junior
1,*,
Fabio Romano Lofrano Dotto
2 and
Benedito Roberto Santos
3
1
Department of Electrical Engineering, São Paulo State University, Av. Eng. Luiz Edmundo Carrijo Coube, 14-01, Bauru 17033-360, Brazil
2
FAROL Pesquisa, Desenvolvimento e Consultoria, R. Ver. Joaquim da Silva Martha, 19-48-sala 6-Vila Perroca, Bauru 17011-170, Brazil
3
Interligação Elétrica do Madeira S.A, R. Java, 200, Jardim Shangrilá, Cuiabá 78080-970, Brazil
*
Author to whom correspondence should be addressed.
†
Presented at the 8th International Electronic Conference on Sensors and Applications, 1–15 November 2021; Available online: https://ecsa-8.sciforum.net.
Eng. Proc. 2021, 10(1), 28; https://doi.org/10.3390/ecsa-8-11318
Published: 1 November 2021
(This article belongs to the Proceedings of The 8th International Electronic Conference on Sensors and Applications)
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Abstract

This paper presents an initial and feasibility study of corona discharge characterization on HVDC systems using an alternative strategy based on digital signal processing techniques. In the corona discharge test, high voltages varying from ±30 to ±80 kV were applied through a DC high-voltage generator. In addition, corona discharges around the conductor were measured by means of a data acquisition prototype system equipped with a metal electrode device for the purpose of corona current measurement. The signals collected were subjected to digital signal processing parameters to extract the most relevant information related to corona discharge occurrence in specific frequency bands. The results reveal that the proposed method was able to detect the corona discharge characteristics following the changes in the signal content, especially, for narrow frequency ranges. The results indicate the feasibility of the proposed method to detect and characterize the corona discharge in a simple way, which expands the research field in corona discharge characterization in HVDC systems by means of digital signal processing and feature extraction.
Keywords: HVDC; corona discharge; digital signal processing; pattern recognition; fault diagnosis HVDC; corona discharge; digital signal processing; pattern recognition; fault diagnosis

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MDPI and ACS Style

David, G.A.; Junior, P.O.C.; Dotto, F.R.L.; Santos, B.R. A Feasibility Study of the Application of Signal Processing Techniques to Corona Discharge Characterization on HVDC Systems. Eng. Proc. 2021, 10, 28. https://doi.org/10.3390/ecsa-8-11318

AMA Style

David GA, Junior POC, Dotto FRL, Santos BR. A Feasibility Study of the Application of Signal Processing Techniques to Corona Discharge Characterization on HVDC Systems. Engineering Proceedings. 2021; 10(1):28. https://doi.org/10.3390/ecsa-8-11318

Chicago/Turabian Style

David, Gabriel Augusto, Pedro Oliveira Conceição Junior, Fabio Romano Lofrano Dotto, and Benedito Roberto Santos. 2021. "A Feasibility Study of the Application of Signal Processing Techniques to Corona Discharge Characterization on HVDC Systems" Engineering Proceedings 10, no. 1: 28. https://doi.org/10.3390/ecsa-8-11318

APA Style

David, G. A., Junior, P. O. C., Dotto, F. R. L., & Santos, B. R. (2021). A Feasibility Study of the Application of Signal Processing Techniques to Corona Discharge Characterization on HVDC Systems. Engineering Proceedings, 10(1), 28. https://doi.org/10.3390/ecsa-8-11318

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