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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/210823
Ver los metadatos del registro completo
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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 Técnicas2025-09-29T10:04:00Zoai: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:34982025-09-29 10:04:01.201CONICET 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 |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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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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13.070432 |