Identification of partial discharges immersed in noise in large hydro-generators based on improved wavelet selection methods-Reference-Cited by-同舟云学术

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Identification of partial discharges immersed in noise in large hydro-generators based on improved wavelet selection methods

Published:2015-11 Issue: Volume:75 Page:122-133
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Carvalho Andre T.,Lima Antonio C.S.,Cunha Caio F.F.C.,Petraglia Mariane

Funder

ELETROBRAS/CEPEL

Conselho Nacional de Desenvolvimento Científico e Tecnológico – CNPq

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – CAPES

Instituto Nacional de Energia Elétrica – INERGE

Fundação de Amparo à Pesquisa do estado de Minas Gerais – FAPEMIG

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference40 articles.

1. Interpretation of wavelet analysis and its application in partial discharge detection;Ma;IEEE Trans. Dielectr. Electr. Insul.,2002

2. Wavelet-based denoising of partial discharge signals buried in excessive noise and interference;Satish;IEEE Trans. Dielectr. Electr. Insul.,2003

3. Wavelet-based de-noising of on-line PD signals captured by Pearson coil in covered-conductor overhead distribution networks;Hasmi;Electr. Power Energy Syst.,2012

4. Using correlation coefficients for locating partial discharge in power transformer;Nafar;Electr. Power Energy Syst.,2011

5. Understanding the partial discharge activity generated due to particle movement in a composite insulation under AC voltages;Sarathi;Electr. Power Energy Syst,2013

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