Non-Automatic Weighing Instruments Calibration: Parametric Methods for Outliers Assessments

In the experimental calibration processes, several error of measure can be obtained. Usually, these values are called as outliers. The outliers impact in the instruments’ metrological reliability and, consequently, in the industrial processes’ quality control. In specific terms, for mass metrology,...

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Autores:
Hernández-Vásquez, José Daniel
Tipo de recurso:
Fecha de publicación:
2019
Institución:
Universidad del Atlántico
Repositorio:
Repositorio Uniatlantico
Idioma:
eng
OAI Identifier:
oai:repositorio.uniatlantico.edu.co:20.500.12834/839
Acceso en línea:
https://hdl.handle.net/20.500.12834/839
Palabra clave:
Applied Metrology, Metrological Reliability, Outliers, Non-Automatic Weighing Instruments, Calibration.
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openAccess
License
http://creativecommons.org/licenses/by-nc/4.0/
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dc.title.spa.fl_str_mv Non-Automatic Weighing Instruments Calibration: Parametric Methods for Outliers Assessments
title Non-Automatic Weighing Instruments Calibration: Parametric Methods for Outliers Assessments
spellingShingle Non-Automatic Weighing Instruments Calibration: Parametric Methods for Outliers Assessments
Applied Metrology, Metrological Reliability, Outliers, Non-Automatic Weighing Instruments, Calibration.
title_short Non-Automatic Weighing Instruments Calibration: Parametric Methods for Outliers Assessments
title_full Non-Automatic Weighing Instruments Calibration: Parametric Methods for Outliers Assessments
title_fullStr Non-Automatic Weighing Instruments Calibration: Parametric Methods for Outliers Assessments
title_full_unstemmed Non-Automatic Weighing Instruments Calibration: Parametric Methods for Outliers Assessments
title_sort Non-Automatic Weighing Instruments Calibration: Parametric Methods for Outliers Assessments
dc.creator.fl_str_mv Hernández-Vásquez, José Daniel
dc.contributor.author.none.fl_str_mv Hernández-Vásquez, José Daniel
dc.contributor.other.none.fl_str_mv Pedraza-Yepes, Cristian
Barrios-Castillo, Ronald
Castañeda- Escorcia, Mauro
González-Coneo, Jorge
dc.subject.keywords.spa.fl_str_mv Applied Metrology, Metrological Reliability, Outliers, Non-Automatic Weighing Instruments, Calibration.
topic Applied Metrology, Metrological Reliability, Outliers, Non-Automatic Weighing Instruments, Calibration.
description In the experimental calibration processes, several error of measure can be obtained. Usually, these values are called as outliers. The outliers impact in the instruments’ metrological reliability and, consequently, in the industrial processes’ quality control. In specific terms, for mass metrology, the outliers are extremely critic, due to sensibility of technology used for this industry, i.e.: non-automatic weighing instruments (scales). The EURAMET/cg-18/v.02 is the international standard that defined procedure and tests for to assessment the metrological reliability of scales, however, a statistical treatment for outliers is not defined. In order to propose robust alternatives for outliers analyses, this work to evaluate parametric techniques for the elimination of outliers in the calibration of a Bernalo non-automatic weighing instruments (Capacity: 30.000 kg; Resolution: 0.001 kg). Three methods were applied in the analysis of experimental data: Dixon, Grubbs and Chauvenet. The results confirmed a reduction in the expanded uncertainty associated to mass measurement (k=2) up to: 17.6% (Dixon); 19.9% (Grubbs) and 35.2% (Chauvenet). According to the results and considering the contribution of work to applied mass metrology, the authors propose the inclusion of analyzes and evaluation of outliers in the EURAMET/cg-18/v.02. Thus, it is expected an increase in metrological reliability in mass measurement processes at the scientific and industrial sector.
publishDate 2019
dc.date.submitted.none.fl_str_mv 2019-06-26
dc.date.issued.none.fl_str_mv 2020-06-10
dc.date.accessioned.none.fl_str_mv 2022-11-15T19:42:42Z
dc.date.available.none.fl_str_mv 2022-11-15T19:42:42Z
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dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12834/839
dc.identifier.doi.none.fl_str_mv 10.25103/jestr. 135.20
dc.identifier.instname.spa.fl_str_mv Universidad del Atlántico
dc.identifier.reponame.spa.fl_str_mv Repositorio Universidad del Atlántico
url https://hdl.handle.net/20.500.12834/839
identifier_str_mv 10.25103/jestr. 135.20
Universidad del Atlántico
Repositorio Universidad del Atlántico
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dc.publisher.place.spa.fl_str_mv Barranquilla
dc.publisher.discipline.spa.fl_str_mv Ingeniería Mecánica
dc.publisher.sede.spa.fl_str_mv Sede Norte
dc.source.spa.fl_str_mv Jestr
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spelling Hernández-Vásquez, José Daniel3982ed33-45db-4027-b4ad-c018b756acdbPedraza-Yepes, CristianBarrios-Castillo, RonaldCastañeda- Escorcia, MauroGonzález-Coneo, Jorge2022-11-15T19:42:42Z2022-11-15T19:42:42Z2020-06-102019-06-26https://hdl.handle.net/20.500.12834/83910.25103/jestr. 135.20Universidad del AtlánticoRepositorio Universidad del AtlánticoIn the experimental calibration processes, several error of measure can be obtained. Usually, these values are called as outliers. The outliers impact in the instruments’ metrological reliability and, consequently, in the industrial processes’ quality control. In specific terms, for mass metrology, the outliers are extremely critic, due to sensibility of technology used for this industry, i.e.: non-automatic weighing instruments (scales). The EURAMET/cg-18/v.02 is the international standard that defined procedure and tests for to assessment the metrological reliability of scales, however, a statistical treatment for outliers is not defined. In order to propose robust alternatives for outliers analyses, this work to evaluate parametric techniques for the elimination of outliers in the calibration of a Bernalo non-automatic weighing instruments (Capacity: 30.000 kg; Resolution: 0.001 kg). Three methods were applied in the analysis of experimental data: Dixon, Grubbs and Chauvenet. The results confirmed a reduction in the expanded uncertainty associated to mass measurement (k=2) up to: 17.6% (Dixon); 19.9% (Grubbs) and 35.2% (Chauvenet). According to the results and considering the contribution of work to applied mass metrology, the authors propose the inclusion of analyzes and evaluation of outliers in the EURAMET/cg-18/v.02. Thus, it is expected an increase in metrological reliability in mass measurement processes at the scientific and industrial sector.application/pdfenghttp://creativecommons.org/licenses/by-nc/4.0/Attribution-NonCommercial 4.0 Internationalinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2JestrNon-Automatic Weighing Instruments Calibration: Parametric Methods for Outliers AssessmentsPúblico generalApplied Metrology, Metrological Reliability, Outliers, Non-Automatic Weighing Instruments, Calibration.info:eu-repo/semantics/articleArtículohttp://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1BarranquillaIngeniería MecánicaSede Norte1. International Organization of Legal Metrology (OIML). OIML R- 76-1. Non-automatic weighing instruments. 2006.2. EURAMET cg-18. Guidelines on the Calibration of Non-Automatic Weighing Instruments. Vol. 4.0. 2015.3. Wang, C., Caja, J., & Gómez, E. (2018). Comparison of methods for outlier identification in surface characterization. Measurement, 117, 312-325.4. Oliveira, E.; De Faro, O.; Dos Santos, A.; Oliveira, C. Comparison of different approaches for detection and treatment of outliers in meter proving factors determination. Flow Measurement and Instrumentation. 2016.5. Virmani, D., Jain, N., Parikh, K., & Upadhyaya, S. (2018). Boundary Outlier Centroid Based Reduced Overlapping Image Segmentation. Journal of Engineering Science & Technology Review, 11(5).6. Barrios, R.; Castañeda, M. Metrological assessment of different parametric method to analyses outliers in the calibration process of non-automatic weighing instruments (in Spanish). Department of Mechanical Engineering. Universidad del Atlántico. 2018.7. Barrios R.; Castañeda M.; Pedraza C.; Hernandez J.; Ibañez I. Outliers exclusion: a strategy to reduce the uncertainty type A in the scales calibration process. CENAM. 2016.8. GUM: Evaluation of measurement data — Guide to the expression of uncertainty in measurement. 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