Uncertainty evaluation of multi-sensor flow measurement in a sewer system using Monte Carlo method
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://repositorio.lnec.pt:8080/jspui/handle/123456789/17136 |
Resumo: | Technical requirements and economical impacts of flow measurements in sewer systems are a issue concern in today’s system’s management. Thus, the quality of the measurements is considered to be a critical issue. Considering the complex nature of the measurand and the metrological requirements of local installations, the best available level of accuracy in measurement results should be sought. Therefore, both the knowledge of the measurand estimates and measurement of uncertainties are required for achieving robust results. Within this context, the quality of measurement results depends on the knowledge of the uncertainty contributions and on the selection of an appropriate method to evaluate the measurement uncertainty. The study of these aspects can be of major importance in providing information to management of the system, namely in the selection of appropriate technology, upgrading and maintenance activities. The Monte Carlo method is used in this paper to carry out the evaluation of the measurement uncertainty, considering its inherent capacity to deal with non-linear and multi-stage mathematical models. Influence of geometric conditions and other relevant parameters in the quality of measurements is discussed. The study was developed within the context of a specific sewer system, using a particular measurement system, from which measurement data was gathered. |
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Uncertainty evaluation of multi-sensor flow measurement in a sewer system using Monte Carlo methodSewer systemsFlow measurementMeasurement uncertaintyMonte carlo methodTechnical requirements and economical impacts of flow measurements in sewer systems are a issue concern in today’s system’s management. Thus, the quality of the measurements is considered to be a critical issue. Considering the complex nature of the measurand and the metrological requirements of local installations, the best available level of accuracy in measurement results should be sought. Therefore, both the knowledge of the measurand estimates and measurement of uncertainties are required for achieving robust results. Within this context, the quality of measurement results depends on the knowledge of the uncertainty contributions and on the selection of an appropriate method to evaluate the measurement uncertainty. The study of these aspects can be of major importance in providing information to management of the system, namely in the selection of appropriate technology, upgrading and maintenance activities. The Monte Carlo method is used in this paper to carry out the evaluation of the measurement uncertainty, considering its inherent capacity to deal with non-linear and multi-stage mathematical models. Influence of geometric conditions and other relevant parameters in the quality of measurements is discussed. The study was developed within the context of a specific sewer system, using a particular measurement system, from which measurement data was gathered.2009-10-19T14:41:04Z2010-04-26T08:58:43Z2014-10-20T12:59:09Z2017-04-13T11:41:41Z2009-01-01T00:00:00Z2009info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.lnec.pt:8080/jspui/handle/123456789/17136engRibeiro, A.Almeida, M. C.Palma, J.info: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:RCAAP2024-01-13T03:06:25Zoai:localhost:123456789/17136Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:39:56.522088Repositório 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 |
Uncertainty evaluation of multi-sensor flow measurement in a sewer system using Monte Carlo method |
title |
Uncertainty evaluation of multi-sensor flow measurement in a sewer system using Monte Carlo method |
spellingShingle |
Uncertainty evaluation of multi-sensor flow measurement in a sewer system using Monte Carlo method Ribeiro, A. Sewer systems Flow measurement Measurement uncertainty Monte carlo method |
title_short |
Uncertainty evaluation of multi-sensor flow measurement in a sewer system using Monte Carlo method |
title_full |
Uncertainty evaluation of multi-sensor flow measurement in a sewer system using Monte Carlo method |
title_fullStr |
Uncertainty evaluation of multi-sensor flow measurement in a sewer system using Monte Carlo method |
title_full_unstemmed |
Uncertainty evaluation of multi-sensor flow measurement in a sewer system using Monte Carlo method |
title_sort |
Uncertainty evaluation of multi-sensor flow measurement in a sewer system using Monte Carlo method |
author |
Ribeiro, A. |
author_facet |
Ribeiro, A. Almeida, M. C. Palma, J. |
author_role |
author |
author2 |
Almeida, M. C. Palma, J. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Ribeiro, A. Almeida, M. C. Palma, J. |
dc.subject.por.fl_str_mv |
Sewer systems Flow measurement Measurement uncertainty Monte carlo method |
topic |
Sewer systems Flow measurement Measurement uncertainty Monte carlo method |
description |
Technical requirements and economical impacts of flow measurements in sewer systems are a issue concern in today’s system’s management. Thus, the quality of the measurements is considered to be a critical issue. Considering the complex nature of the measurand and the metrological requirements of local installations, the best available level of accuracy in measurement results should be sought. Therefore, both the knowledge of the measurand estimates and measurement of uncertainties are required for achieving robust results. Within this context, the quality of measurement results depends on the knowledge of the uncertainty contributions and on the selection of an appropriate method to evaluate the measurement uncertainty. The study of these aspects can be of major importance in providing information to management of the system, namely in the selection of appropriate technology, upgrading and maintenance activities. The Monte Carlo method is used in this paper to carry out the evaluation of the measurement uncertainty, considering its inherent capacity to deal with non-linear and multi-stage mathematical models. Influence of geometric conditions and other relevant parameters in the quality of measurements is discussed. The study was developed within the context of a specific sewer system, using a particular measurement system, from which measurement data was gathered. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-10-19T14:41:04Z 2009-01-01T00:00:00Z 2009 2010-04-26T08:58:43Z 2014-10-20T12:59:09Z 2017-04-13T11:41:41Z |
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://repositorio.lnec.pt:8080/jspui/handle/123456789/17136 |
url |
http://repositorio.lnec.pt:8080/jspui/handle/123456789/17136 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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.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 |
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1799136887721426944 |