Uncertainty evaluation of multi-sensor flow measurement in a sewer system using Monte Carlo method

Detalhes bibliográficos
Autor(a) principal: Ribeiro, A.
Data de Publicação: 2009
Outros Autores: Almeida, M. C., Palma, J.
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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spelling 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
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