Diffusion maps in search of outliers of polarization curves
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Publication Date: | 2022 |
Other Authors: | , |
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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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 |
_version_ |
1797041760311967744 |