Empirical analysis of partial discharge data and innovative visualization tools for defect identification under DC stress Article Swipe

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Saliha Abdul Madhar , Petr Mráz , Armando Rodrigo Mor , R. Ross ·

YOU? · · 2020 · Open Access · · DOI: https://doi.org/10.1016/j.ijepes.2020.106270

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Plot (Graphics)

Visualization (Graphics)

Computer Science

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Engineering

Data Mining

Electrical Engineering

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Partial discharge Identification (biology) Plot (graphics) Visualization Stress (linguistics) Computer science Dimension (graph theory) Diagram Acoustic emission Electronic engineering Reliability engineering Engineering Data mining Electrical engineering Voltage Acoustics Mathematics Physics Biology Pure mathematics Linguistics Database Philosophy Botany Statistics

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Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.ijepes.2020.106270
OA Status: hybrid
Cited By: 15
References: 10
Related Works: 10
OpenAlex ID: https://openalex.org/W3037108205

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DOI: https://doi.org/10.1016/j.ijepes.2020.106270

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Title: Empirical analysis of partial discharge data and innovative visualization tools for defect identification under DC stress

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Type: article

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Language: en

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Publication year: 2020

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Publication date: 2020-06-26

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Authors: Saliha Abdul Madhar, Petr Mráz, Armando Rodrigo Mor, R. Ross

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Landing page: https://doi.org/10.1016/j.ijepes.2020.106270

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Concepts: Partial discharge, Identification (biology), Plot (graphics), Visualization, Stress (linguistics), Computer science, Dimension (graph theory), Diagram, Acoustic emission, Electronic engineering, Reliability engineering, Engineering, Data mining, Electrical engineering, Voltage, Acoustics, Mathematics, Physics, Biology, Pure mathematics, Linguistics, Database, Philosophy, Botany, Statistics

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Cited by: 15

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References (count): 10

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primary_location.raw_source_name	International Journal of Electrical Power & Energy Systems
primary_location.landing_page_url	https://doi.org/10.1016/j.ijepes.2020.106270
publication_date	2020-06-26
publication_year	2020
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