New Signal Processing-Based Methodology for Optimal Feature Selection of Corona Discharges Measurement in HVDC Systems-Reference-Cited by-同舟云学术

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New Signal Processing-Based Methodology for Optimal Feature Selection of Corona Discharges Measurement in HVDC Systems

Published:2023 Issue: Volume:72 Page:1-9
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

David Gabriel Augusto¹^ORCID,Junior Pedro Oliveira Conceição²^ORCID,Dotto Fabio Romano Lofrano³^ORCID,Santos Benedito Roberto Dos⁴^ORCID

Affiliation:

1. Department of Electrical Engineering, São Paulo State University, Sao Paulo, Bauru, Brazil

2. Escola de Engenharia de São Carlos, University of São Paulo (EESC-USP), São Carlos, Sao Paulo, Brazil

3. FAROL Pesquisa, Desenvolvimento e Consultoria, Sao Paulo, Bauru, Brazil

4. Interligação Elétrica do Madeira S.A., Cuiabá, Brazil

Funder

Interligação Elétrica do Madeira S.A.

Agência Nacional de Energia Elétrica [Brazilian Electricity Regulatory Agency (ANEEL)]

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10078929.pdf?arnumber=10078929

Reference26 articles.

1. Analysis of HVDC superimposed harmonic voltage effects on partial discharge behavior in solid dielectric media

2. Separation Techniques of Partial Discharges and Electrical Noise Sources: A Review of Recent Progress

3. On-line monitoring of partial discharges in a HVDC station environment

4. Diagnostic of HVDC systems using partial discharges

5. Measurement and assessment of corona current density for HVDC bundle conductors by FDM integrated with full multigrid technique

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