Health index for power transformer condition assessment: A comparison of three different techniques

Autores
Zaldivar Sanchez, Diego Armando; Romero Quete, Andrés Arturo
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In practice, the condition state of Power Transformers (PT) is quantified by using Health Index (HI). This paper analyzes and compares three different state-of-the-art algorithms to compute HI. The first one uses a Weighted Sum Model (WSM), the second is based on a Fuzzy Inference System (FIS), and the third combines both techniques, i.e., WSM and FIS. These three approaches are tested in a PT fleet composed of 30 units. Results show that each approach produces different HI values for the same PTs. Therefore, decision making regarding the PT fleet will depend on the selected approach for HI calculation. This work proposes merging the knowledge involved in each analyzed approach by using a K-means clustering technique to overcome this drawback. This solution could help the asset manager to make adequate decisions regarding the maintenance scheduling of PT when there is uncertainty about the appropriate approach to be selected.
Fil: Zaldivar Sanchez, Diego Armando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Romero Quete, Andrés Arturo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Materia
CONDITION ASSESSMENT
FUZZY LOGIC
HEALTH INDEX
POWER TRANSFORMERS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/210823
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/210823
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Health index for power transformer condition assessment: A comparison of three different techniquesZaldivar Sanchez, Diego ArmandoRomero Quete, Andrés ArturoCONDITION ASSESSMENTFUZZY LOGICHEALTH INDEXPOWER TRANSFORMERShttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2In practice, the condition state of Power Transformers (PT) is quantified by using Health Index (HI). This paper analyzes and compares three different state-of-the-art algorithms to compute HI. The first one uses a Weighted Sum Model (WSM), the second is based on a Fuzzy Inference System (FIS), and the third combines both techniques, i.e., WSM and FIS. These three approaches are tested in a PT fleet composed of 30 units. Results show that each approach produces different HI values for the same PTs. Therefore, decision making regarding the PT fleet will depend on the selected approach for HI calculation. This work proposes merging the knowledge involved in each analyzed approach by using a K-means clustering technique to overcome this drawback. This solution could help the asset manager to make adequate decisions regarding the maintenance scheduling of PT when there is uncertainty about the appropriate approach to be selected.Fil: Zaldivar Sanchez, Diego Armando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; ArgentinaFil: Romero Quete, Andrés Arturo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; ArgentinaUniversidad Nacional Autónoma de México2022-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/210823Zaldivar Sanchez, Diego Armando; Romero Quete, Andrés Arturo; Health index for power transformer condition assessment: A comparison of three different techniques; Universidad Nacional Autónoma de México; Journal of Applied Research and Technology; 20; 5; 10-2022; 536-5451665-64232448-6736CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://jart.icat.unam.mx/index.php/jart/article/view/1606info:eu-repo/semantics/altIdentifier/doi/10.22201/icat.24486736e.2022.20.5.1606info:eu-repo/semantics/altIdentifier/url/https://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1665-64232022000500536&lng=es&nrm=iso&tlng=eninfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:00:42Zoai:ri.conicet.gov.ar:11336/210823instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:00:42.685CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Health index for power transformer condition assessment: A comparison of three different techniques
title Health index for power transformer condition assessment: A comparison of three different techniques
spellingShingle Health index for power transformer condition assessment: A comparison of three different techniques
Zaldivar Sanchez, Diego Armando
CONDITION ASSESSMENT
FUZZY LOGIC
HEALTH INDEX
POWER TRANSFORMERS
title_short Health index for power transformer condition assessment: A comparison of three different techniques
title_full Health index for power transformer condition assessment: A comparison of three different techniques
title_fullStr Health index for power transformer condition assessment: A comparison of three different techniques
title_full_unstemmed Health index for power transformer condition assessment: A comparison of three different techniques
title_sort Health index for power transformer condition assessment: A comparison of three different techniques
dc.creator.none.fl_str_mv Zaldivar Sanchez, Diego Armando
Romero Quete, Andrés Arturo
author Zaldivar Sanchez, Diego Armando
author_facet Zaldivar Sanchez, Diego Armando
Romero Quete, Andrés Arturo
author_role author
author2 Romero Quete, Andrés Arturo
author2_role author
dc.subject.none.fl_str_mv CONDITION ASSESSMENT
FUZZY LOGIC
HEALTH INDEX
POWER TRANSFORMERS
topic CONDITION ASSESSMENT
FUZZY LOGIC
HEALTH INDEX
POWER TRANSFORMERS
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv In practice, the condition state of Power Transformers (PT) is quantified by using Health Index (HI). This paper analyzes and compares three different state-of-the-art algorithms to compute HI. The first one uses a Weighted Sum Model (WSM), the second is based on a Fuzzy Inference System (FIS), and the third combines both techniques, i.e., WSM and FIS. These three approaches are tested in a PT fleet composed of 30 units. Results show that each approach produces different HI values for the same PTs. Therefore, decision making regarding the PT fleet will depend on the selected approach for HI calculation. This work proposes merging the knowledge involved in each analyzed approach by using a K-means clustering technique to overcome this drawback. This solution could help the asset manager to make adequate decisions regarding the maintenance scheduling of PT when there is uncertainty about the appropriate approach to be selected.
Fil: Zaldivar Sanchez, Diego Armando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Romero Quete, Andrés Arturo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
description In practice, the condition state of Power Transformers (PT) is quantified by using Health Index (HI). This paper analyzes and compares three different state-of-the-art algorithms to compute HI. The first one uses a Weighted Sum Model (WSM), the second is based on a Fuzzy Inference System (FIS), and the third combines both techniques, i.e., WSM and FIS. These three approaches are tested in a PT fleet composed of 30 units. Results show that each approach produces different HI values for the same PTs. Therefore, decision making regarding the PT fleet will depend on the selected approach for HI calculation. This work proposes merging the knowledge involved in each analyzed approach by using a K-means clustering technique to overcome this drawback. This solution could help the asset manager to make adequate decisions regarding the maintenance scheduling of PT when there is uncertainty about the appropriate approach to be selected.
publishDate 2022
dc.date.none.fl_str_mv 2022-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/210823
Zaldivar Sanchez, Diego Armando; Romero Quete, Andrés Arturo; Health index for power transformer condition assessment: A comparison of three different techniques; Universidad Nacional Autónoma de México; Journal of Applied Research and Technology; 20; 5; 10-2022; 536-545
1665-6423
2448-6736
CONICET Digital
CONICET
url http://hdl.handle.net/11336/210823
identifier_str_mv Zaldivar Sanchez, Diego Armando; Romero Quete, Andrés Arturo; Health index for power transformer condition assessment: A comparison of three different techniques; Universidad Nacional Autónoma de México; Journal of Applied Research and Technology; 20; 5; 10-2022; 536-545
1665-6423
2448-6736
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://jart.icat.unam.mx/index.php/jart/article/view/1606
info:eu-repo/semantics/altIdentifier/doi/10.22201/icat.24486736e.2022.20.5.1606
info:eu-repo/semantics/altIdentifier/url/https://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1665-64232022000500536&lng=es&nrm=iso&tlng=en
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional Autónoma de México
publisher.none.fl_str_mv Universidad Nacional Autónoma de México
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.22299

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