Diffusion maps in search of outliers of polarization curves

Bibliographic Details
Main Author: Lopes dos Santos de Oliveira, Carlos Alberto
Publication Date: 2022
Other Authors: Napoleão Bastos, Ivan, Duarte Moura Neto, Francisco
Format: Article
Language: por
Source: Vetor (Online)
Download full: https://periodicos.furg.br/vetor/article/view/13500
Summary: This work proposes an efficient nonlinear dimensionality reduction technique known as Diffusion Maps in the identification of polarization curve outliers. Such curves evaluate the global kinetics of electrochemical electrode processes in corrosive media under steady-state conditions. However, they can present scattering of experimental nature or due to artifacts that may occur. Thus, a search for outliers is necessary because it would allow extracting them from the set of experimental curves under analysis; eventually, they do not adequately translate the material's behavior immersed in the corrosive environment to a given electrochemical potential. The hope is to achieve a good classification rate, eliminating improbable results from the data. However, classifying them correctly is a challenge because a strong nonlinearity typical of polarization curves besides the overlap make the task difficult. In this work, two stainless steels were studied in an aqueous solution with 3.5 % NaCl. Through the diffusion matrix and the associated color map, the Diffusion Maps technique was able to satisfactorily find outliers for both steels used, proving useful because of the proposed approach.
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spelling Diffusion maps in search of outliers of polarization curvesMapas de difusão na busca de outliers de curvas de polarizaçãoMapas de difusãoOutliersCurvas de polarizaçãoDiffusion MapsOutliersPolarization curvesThis work proposes an efficient nonlinear dimensionality reduction technique known as Diffusion Maps in the identification of polarization curve outliers. Such curves evaluate the global kinetics of electrochemical electrode processes in corrosive media under steady-state conditions. However, they can present scattering of experimental nature or due to artifacts that may occur. Thus, a search for outliers is necessary because it would allow extracting them from the set of experimental curves under analysis; eventually, they do not adequately translate the material's behavior immersed in the corrosive environment to a given electrochemical potential. The hope is to achieve a good classification rate, eliminating improbable results from the data. However, classifying them correctly is a challenge because a strong nonlinearity typical of polarization curves besides the overlap make the task difficult. In this work, two stainless steels were studied in an aqueous solution with 3.5 % NaCl. Through the diffusion matrix and the associated color map, the Diffusion Maps technique was able to satisfactorily find outliers for both steels used, proving useful because of the proposed approach.Este trabalho propõe uma abordagem de uma eficiente técnica de redução de dimensionalidade não linear conhecida como mapas de difusão na identificação de outliers de curvas de polarização. Tais curvas avaliam a cinética global de processos eletroquímicos de eletrodos em meios corrosivos sob condições estacionárias, mas que apresentam variações de natureza experimental ou por erros sistemáticos que possam ocorrer. Assim, a busca por outliers se faz necessária pois, no contexto em questão, permitiria extrair do conjunto das curvas experimentais em análise aquelas que, eventualmente, não traduzem de forma adequada o comportamento do material imerso no meio corrosivo a um dado potencial aplicado. A esperança é conseguir um ganho na taxa de classificação, eliminando-se dados muito improváveis do conjunto de amostras. Classificá-los corretamente é um desafio pois a forte não linearidade típica de curvas de polarização e a superposição tornam a tarefa difícil. Neste trabalho, estudou-se dois aços inoxidáveis em solução aquosa com 3,5 % NaCl. Por meio da matriz de difusão e do mapa de cores a ela associada, a técnica de mapas de difusão conseguiu encontrar satisfatoriamente outliers de ambos os aços utilizados, mostrando-se útil diante da abordagem proposta.Universidade Federal do Rio Grande2022-08-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.furg.br/vetor/article/view/1350010.14295/vetor.v32i1.13500VETOR - Journal of Exact Sciences and Engineering; Vol. 32 No. 1 (2022); 2-12VETOR - Revista de Ciências Exatas e Engenharias; v. 32 n. 1 (2022); 2-122358-34520102-7352reponame:Vetor (Online)instname:Universidade Federal do Rio Grande (FURG)instacron:FURGporhttps://periodicos.furg.br/vetor/article/view/13500/9741Copyright (c) 2022 VETOR - Revista de Ciências Exatas e Engenhariasinfo:eu-repo/semantics/openAccessLopes dos Santos de Oliveira, Carlos AlbertoNapoleão Bastos, IvanDuarte Moura Neto, Francisco2022-07-15T17:35:53Zoai:periodicos.furg.br:article/13500Revistahttps://periodicos.furg.br/vetorPUBhttps://periodicos.furg.br/vetor/oaigmplatt@furg.br2358-34520102-7352opendoar:2022-07-15T17:35:53Vetor (Online) - Universidade Federal do Rio Grande (FURG)false
dc.title.none.fl_str_mv Diffusion maps in search of outliers of polarization curves
Mapas de difusão na busca de outliers de curvas de polarização
title Diffusion maps in search of outliers of polarization curves
spellingShingle Diffusion maps in search of outliers of polarization curves
Lopes dos Santos de Oliveira, Carlos Alberto
Mapas de difusão
Outliers
Curvas de polarização
Diffusion Maps
Outliers
Polarization curves
title_short Diffusion maps in search of outliers of polarization curves
title_full Diffusion maps in search of outliers of polarization curves
title_fullStr Diffusion maps in search of outliers of polarization curves
title_full_unstemmed Diffusion maps in search of outliers of polarization curves
title_sort Diffusion maps in search of outliers of polarization curves
author Lopes dos Santos de Oliveira, Carlos Alberto
author_facet Lopes dos Santos de Oliveira, Carlos Alberto
Napoleão Bastos, Ivan
Duarte Moura Neto, Francisco
author_role author
author2 Napoleão Bastos, Ivan
Duarte Moura Neto, Francisco
author2_role author
author
dc.contributor.author.fl_str_mv Lopes dos Santos de Oliveira, Carlos Alberto
Napoleão Bastos, Ivan
Duarte Moura Neto, Francisco
dc.subject.por.fl_str_mv Mapas de difusão
Outliers
Curvas de polarização
Diffusion Maps
Outliers
Polarization curves
topic Mapas de difusão
Outliers
Curvas de polarização
Diffusion Maps
Outliers
Polarization curves
description This work proposes an efficient nonlinear dimensionality reduction technique known as Diffusion Maps in the identification of polarization curve outliers. Such curves evaluate the global kinetics of electrochemical electrode processes in corrosive media under steady-state conditions. However, they can present scattering of experimental nature or due to artifacts that may occur. Thus, a search for outliers is necessary because it would allow extracting them from the set of experimental curves under analysis; eventually, they do not adequately translate the material's behavior immersed in the corrosive environment to a given electrochemical potential. The hope is to achieve a good classification rate, eliminating improbable results from the data. However, classifying them correctly is a challenge because a strong nonlinearity typical of polarization curves besides the overlap make the task difficult. In this work, two stainless steels were studied in an aqueous solution with 3.5 % NaCl. Through the diffusion matrix and the associated color map, the Diffusion Maps technique was able to satisfactorily find outliers for both steels used, proving useful because of the proposed approach.
publishDate 2022
dc.date.none.fl_str_mv 2022-08-03
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.furg.br/vetor/article/view/13500
10.14295/vetor.v32i1.13500
url https://periodicos.furg.br/vetor/article/view/13500
identifier_str_mv 10.14295/vetor.v32i1.13500
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.furg.br/vetor/article/view/13500/9741
dc.rights.driver.fl_str_mv Copyright (c) 2022 VETOR - Revista de Ciências Exatas e Engenharias
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 VETOR - Revista de Ciências Exatas e Engenharias
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal do Rio Grande
publisher.none.fl_str_mv Universidade Federal do Rio Grande
dc.source.none.fl_str_mv VETOR - Journal of Exact Sciences and Engineering; Vol. 32 No. 1 (2022); 2-12
VETOR - Revista de Ciências Exatas e Engenharias; v. 32 n. 1 (2022); 2-12
2358-3452
0102-7352
reponame:Vetor (Online)
instname:Universidade Federal do Rio Grande (FURG)
instacron:FURG
instname_str Universidade Federal do Rio Grande (FURG)
instacron_str FURG
institution FURG
reponame_str Vetor (Online)
collection Vetor (Online)
repository.name.fl_str_mv Vetor (Online) - Universidade Federal do Rio Grande (FURG)
repository.mail.fl_str_mv gmplatt@furg.br
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