Meta-analysis and forest plots for sustainability of heavy load carrier equipment used in the industrial mining environment
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/74394 |
Resumo: | It is a common recommendation not to attempt a reliability analysis with a small sample size. However, this is feasible after considering certain statistical methods. One such method is meta-analysis, which can be considered to assess the effectiveness of a small sample size by combining data from different studies. The method explores the presence of heterogeneity and the robustness of the fresh large sample size using sensitivity analysis. The present study describes the approach in the reliability estimation of diesel engines and the components of industrial heavy load carrier equipment used in mines for transporting ore. A meta-analysis is carried out on field-based small-sample data for the reliability of different subsystems of the engine. The level of heterogeneity is calculated for each subsystem, which is further verified by constructing a forest plot. The level of heterogeneity was 0 for four subsystems and 2.23% for the air supply subsystem, which is very low. The result of the forest plot shows that all the plotted points mostly lie either on the center line (line of no effect) or very close to it, for all five subsystems. Hence, it was found that the grouping of an extremely small number of failure data is possible. By using this grouped TBF data, reliability analysis could be very easily carried out. |
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Meta-analysis and forest plots for sustainability of heavy load carrier equipment used in the industrial mining environmentReliabilityTime between Failures (TBF)Meta-analysis testLevel of heterogeneitySensitivity analysisForest plotScience & TechnologyIt is a common recommendation not to attempt a reliability analysis with a small sample size. However, this is feasible after considering certain statistical methods. One such method is meta-analysis, which can be considered to assess the effectiveness of a small sample size by combining data from different studies. The method explores the presence of heterogeneity and the robustness of the fresh large sample size using sensitivity analysis. The present study describes the approach in the reliability estimation of diesel engines and the components of industrial heavy load carrier equipment used in mines for transporting ore. A meta-analysis is carried out on field-based small-sample data for the reliability of different subsystems of the engine. The level of heterogeneity is calculated for each subsystem, which is further verified by constructing a forest plot. The level of heterogeneity was 0 for four subsystems and 2.23% for the air supply subsystem, which is very low. The result of the forest plot shows that all the plotted points mostly lie either on the center line (line of no effect) or very close to it, for all five subsystems. Hence, it was found that the grouping of an extremely small number of failure data is possible. By using this grouped TBF data, reliability analysis could be very easily carried out.The authors are grateful to FCT—Fundação para a Ciência e Tecnologia—who financially supported this work through the RD Units Project Scope: UIDP/04077/2020 and UIDB/04077/2020Multidisciplinary Digital Publishing Institute (MDPI)Universidade do MinhoChattopadhyaya, SomnathDinkar, Brajeshkumar KishorilalMukhopadhyay, Alok KumarSharma, ShubhamMachado, José2021-08-032021-08-03T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/74394engChattopadhyaya, S.; Dinkar, B.K.; Mukhopadhyay, A.K.; Sharma, S.; Machado, J. Meta-Analysis and Forest Plots for Sustainability of Heavy Load Carrier Equipment Used in the Industrial Mining Environment. Sustainability 2021, 13, 8672. https://doi.org/10.3390/su131586722071-105010.3390/su13158672https://www.mdpi.com/2071-1050/13/15/8672info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:20:56Zoai:repositorium.sdum.uminho.pt:1822/74394Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:14:05.370354Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Meta-analysis and forest plots for sustainability of heavy load carrier equipment used in the industrial mining environment |
title |
Meta-analysis and forest plots for sustainability of heavy load carrier equipment used in the industrial mining environment |
spellingShingle |
Meta-analysis and forest plots for sustainability of heavy load carrier equipment used in the industrial mining environment Chattopadhyaya, Somnath Reliability Time between Failures (TBF) Meta-analysis test Level of heterogeneity Sensitivity analysis Forest plot Science & Technology |
title_short |
Meta-analysis and forest plots for sustainability of heavy load carrier equipment used in the industrial mining environment |
title_full |
Meta-analysis and forest plots for sustainability of heavy load carrier equipment used in the industrial mining environment |
title_fullStr |
Meta-analysis and forest plots for sustainability of heavy load carrier equipment used in the industrial mining environment |
title_full_unstemmed |
Meta-analysis and forest plots for sustainability of heavy load carrier equipment used in the industrial mining environment |
title_sort |
Meta-analysis and forest plots for sustainability of heavy load carrier equipment used in the industrial mining environment |
author |
Chattopadhyaya, Somnath |
author_facet |
Chattopadhyaya, Somnath Dinkar, Brajeshkumar Kishorilal Mukhopadhyay, Alok Kumar Sharma, Shubham Machado, José |
author_role |
author |
author2 |
Dinkar, Brajeshkumar Kishorilal Mukhopadhyay, Alok Kumar Sharma, Shubham Machado, José |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Chattopadhyaya, Somnath Dinkar, Brajeshkumar Kishorilal Mukhopadhyay, Alok Kumar Sharma, Shubham Machado, José |
dc.subject.por.fl_str_mv |
Reliability Time between Failures (TBF) Meta-analysis test Level of heterogeneity Sensitivity analysis Forest plot Science & Technology |
topic |
Reliability Time between Failures (TBF) Meta-analysis test Level of heterogeneity Sensitivity analysis Forest plot Science & Technology |
description |
It is a common recommendation not to attempt a reliability analysis with a small sample size. However, this is feasible after considering certain statistical methods. One such method is meta-analysis, which can be considered to assess the effectiveness of a small sample size by combining data from different studies. The method explores the presence of heterogeneity and the robustness of the fresh large sample size using sensitivity analysis. The present study describes the approach in the reliability estimation of diesel engines and the components of industrial heavy load carrier equipment used in mines for transporting ore. A meta-analysis is carried out on field-based small-sample data for the reliability of different subsystems of the engine. The level of heterogeneity is calculated for each subsystem, which is further verified by constructing a forest plot. The level of heterogeneity was 0 for four subsystems and 2.23% for the air supply subsystem, which is very low. The result of the forest plot shows that all the plotted points mostly lie either on the center line (line of no effect) or very close to it, for all five subsystems. Hence, it was found that the grouping of an extremely small number of failure data is possible. By using this grouped TBF data, reliability analysis could be very easily carried out. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-08-03 2021-08-03T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/74394 |
url |
http://hdl.handle.net/1822/74394 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Chattopadhyaya, S.; Dinkar, B.K.; Mukhopadhyay, A.K.; Sharma, S.; Machado, J. Meta-Analysis and Forest Plots for Sustainability of Heavy Load Carrier Equipment Used in the Industrial Mining Environment. Sustainability 2021, 13, 8672. https://doi.org/10.3390/su13158672 2071-1050 10.3390/su13158672 https://www.mdpi.com/2071-1050/13/15/8672 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute (MDPI) |
publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute (MDPI) |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799132581973721088 |