Electrical fire risk indexing using fuzzy Petri nets
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/270969 |
Resumo: | Electrical fires are a significant cause of dwelling fires, but the existing information on electrical fires is often vague and imprecise, making it challenging to develop a comprehensive risk assessment method. To address this problem, this paper proposes a risk assessment method based on Fuzzy Petri nets (FPNs), a modeling tool that is suitable for complex systems under uncertainty. This approach allows for modeling various relationships between risk factors and their respective importance, supplying a flexible and comprehensive way to perform risk assessment. The proposed method involves responding to a yes/no questionnaire based on code recommendations, which allows for the prediction of the failure mode response. Based on the simulation results, it can be evaluated the overall risk, determined the relevance of each electrical issue in a residential distribution system, or assessed the impact of electrical installation improvements and alterations on safety. Despite the complexity of failure modes modeling, this approach offered a practical and straightforward means of identifying potential electrical fire risks. |
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Rocha, Gustavo Silva daRodrigues, João Paulo CorreiaGazzana, Daniel da Silva2024-01-13T03:41:57Z20230379-7112http://hdl.handle.net/10183/270969001188288Electrical fires are a significant cause of dwelling fires, but the existing information on electrical fires is often vague and imprecise, making it challenging to develop a comprehensive risk assessment method. To address this problem, this paper proposes a risk assessment method based on Fuzzy Petri nets (FPNs), a modeling tool that is suitable for complex systems under uncertainty. This approach allows for modeling various relationships between risk factors and their respective importance, supplying a flexible and comprehensive way to perform risk assessment. The proposed method involves responding to a yes/no questionnaire based on code recommendations, which allows for the prediction of the failure mode response. Based on the simulation results, it can be evaluated the overall risk, determined the relevance of each electrical issue in a residential distribution system, or assessed the impact of electrical installation improvements and alterations on safety. Despite the complexity of failure modes modeling, this approach offered a practical and straightforward means of identifying potential electrical fire risks.application/pdfengFire Safety Journal [recurso eletrônico]. [Amsterdã]. Vol. 139 (Aug 2023), Art. 103817, 12 p.IncêndiosRedes elétricasElectrical firesElectrical failuresFuzzy petri netFuzzy knowledge representationElectrical fire risk indexing using fuzzy Petri netsEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001188288.pdf.txt001188288.pdf.txtExtracted Texttext/plain74131http://www.lume.ufrgs.br/bitstream/10183/270969/2/001188288.pdf.txtc08c8d54e11f57af9b593ee5f68f1d03MD52ORIGINAL001188288.pdfTexto completo (inglês)application/pdf1301094http://www.lume.ufrgs.br/bitstream/10183/270969/1/001188288.pdf0053f5eb1d8253e53d53d0d4c13f5a8fMD5110183/2709692024-01-14 04:24:18.002769oai:www.lume.ufrgs.br:10183/270969Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2024-01-14T06:24:18Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Electrical fire risk indexing using fuzzy Petri nets |
title |
Electrical fire risk indexing using fuzzy Petri nets |
spellingShingle |
Electrical fire risk indexing using fuzzy Petri nets Rocha, Gustavo Silva da Incêndios Redes elétricas Electrical fires Electrical failures Fuzzy petri net Fuzzy knowledge representation |
title_short |
Electrical fire risk indexing using fuzzy Petri nets |
title_full |
Electrical fire risk indexing using fuzzy Petri nets |
title_fullStr |
Electrical fire risk indexing using fuzzy Petri nets |
title_full_unstemmed |
Electrical fire risk indexing using fuzzy Petri nets |
title_sort |
Electrical fire risk indexing using fuzzy Petri nets |
author |
Rocha, Gustavo Silva da |
author_facet |
Rocha, Gustavo Silva da Rodrigues, João Paulo Correia Gazzana, Daniel da Silva |
author_role |
author |
author2 |
Rodrigues, João Paulo Correia Gazzana, Daniel da Silva |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Rocha, Gustavo Silva da Rodrigues, João Paulo Correia Gazzana, Daniel da Silva |
dc.subject.por.fl_str_mv |
Incêndios Redes elétricas |
topic |
Incêndios Redes elétricas Electrical fires Electrical failures Fuzzy petri net Fuzzy knowledge representation |
dc.subject.eng.fl_str_mv |
Electrical fires Electrical failures Fuzzy petri net Fuzzy knowledge representation |
description |
Electrical fires are a significant cause of dwelling fires, but the existing information on electrical fires is often vague and imprecise, making it challenging to develop a comprehensive risk assessment method. To address this problem, this paper proposes a risk assessment method based on Fuzzy Petri nets (FPNs), a modeling tool that is suitable for complex systems under uncertainty. This approach allows for modeling various relationships between risk factors and their respective importance, supplying a flexible and comprehensive way to perform risk assessment. The proposed method involves responding to a yes/no questionnaire based on code recommendations, which allows for the prediction of the failure mode response. Based on the simulation results, it can be evaluated the overall risk, determined the relevance of each electrical issue in a residential distribution system, or assessed the impact of electrical installation improvements and alterations on safety. Despite the complexity of failure modes modeling, this approach offered a practical and straightforward means of identifying potential electrical fire risks. |
publishDate |
2023 |
dc.date.issued.fl_str_mv |
2023 |
dc.date.accessioned.fl_str_mv |
2024-01-13T03:41:57Z |
dc.type.driver.fl_str_mv |
Estrangeiro info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/270969 |
dc.identifier.issn.pt_BR.fl_str_mv |
0379-7112 |
dc.identifier.nrb.pt_BR.fl_str_mv |
001188288 |
identifier_str_mv |
0379-7112 001188288 |
url |
http://hdl.handle.net/10183/270969 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Fire Safety Journal [recurso eletrônico]. [Amsterdã]. Vol. 139 (Aug 2023), Art. 103817, 12 p. |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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application/pdf |
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reponame:Repositório Institucional da UFRGS instname:Universidade Federal do Rio Grande do Sul (UFRGS) instacron:UFRGS |
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Repositório Institucional da UFRGS |
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