Classification of insulators using neural network based on computer vision-Reference-Cited by-同舟云学术

Classification of insulators using neural network based on computer vision

Published:2021-12-08 Issue: Volume: Page:
ISSN:1751-8687
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET gener. transm. distrib.

Author:

Stefenon Stéfano Frizzo¹²^ORCID,Corso Marcelo Picolotto³^ORCID,Nied Ademir¹^ORCID,Perez Fabio Luis³^ORCID,Yow Kin‐Choong²^ORCID,Gonzalez Gabriel Villarrubia⁴^ORCID,Leithardt Valderi Reis Quietinho⁵⁶^ORCID

Affiliation:

1. Electrical Engineering Graduate Program Santa Catarina State University Joinville Brazil

2. Faculty of Engineering and Applied Science University of Regina Regina Canada

3. Electrical Engineering Graduate Program Regional University of Blumenau Blumenau Brazil

4. Expert Systems and Applications Laboratory, Faculty of Science University of Salamanca Salamanca Spain

5. COPELABS Universidade Lusófona de Humanidades e Tecnologias Lisboa Portugal

6. VALORIZA, Research Centre for Endogenous Resource Valorization Polytechnic Institute of Portalegre Portalegre Portugal

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/gtd2.12353

Reference58 articles.

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3. Classification of contaminated insulators using k‐nearest neighbors based on computer vision;Corso M.P.;Computers,2021

4. The failure arc paths of the novel device combining an arrester and an insulator under different pollution levels;Qiao X.;Int. J. Electr. Power Energy Syst.,2021

5. Pollution flashover under different contamination profiles on high voltage insulator: Numerical and experiment investigation;Salem A.A.;IEEE Access,2021

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