Evaluation of pressure and species concentration measurement using uncertainty propagation

This paper presents a probabilistic uncertainity evaluation method as described in the Guide to the Expression of Uncertainty in Measurements (GUM) and its application to probe measurements on pressure and fuel concentration. All sources of unceratinties are expressed as probability distributions. C...

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Main Authors: Stefopoulos Georgios, Rigas Stylianos, Tsirikoglou Panagiotis, Kalfas Anestis I.
Format: Article
Language:English
Published: EDP Sciences 2022-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/12/e3sconf_mtt2022_02008.pdf
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author Stefopoulos Georgios
Rigas Stylianos
Tsirikoglou Panagiotis
Kalfas Anestis I.
author_facet Stefopoulos Georgios
Rigas Stylianos
Tsirikoglou Panagiotis
Kalfas Anestis I.
author_sort Stefopoulos Georgios
collection DOAJ
description This paper presents a probabilistic uncertainity evaluation method as described in the Guide to the Expression of Uncertainty in Measurements (GUM) and its application to probe measurements on pressure and fuel concentration. All sources of unceratinties are expressed as probability distributions. Consequently, the overall standard uncertainty of the quantity can be calculated using the Gaussian error propagation formula. The result of the uncertainty evaluation yields the most probable value of the measurand and describes its distribution in terms of rectangular (standard uncertainty) or gaussian (“expanded” uncertainty) distribution. A pitot-static probe and a fuel-concentration stem probe are used in order to demonstrate the principle of the probabilistic uncertainty evaluation method. The uncertainty induced by the pressure and concentration data acquisition system as well as the calibration of the fuel-concentration probe are included in the analysis. The overall “expanded” uncertainties for the measured and calculated values are presented as a function of different inlet fuel flows. In addition to this, the individual sources of uncertainty to the overall standard uncertainty are presented and discussed. Moreover, the transformation of standard uncertainty to “expanded” uncertainty will provide the deviation of the measurement in a 95% or 99% normal distributed interval instead of a 67% rectangular distributed interval.
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spelling doaj.art-1fb7c34691444424b82008ed6f1967592022-12-22T03:13:22ZengEDP SciencesE3S Web of Conferences2267-12422022-01-013450200810.1051/e3sconf/202234502008e3sconf_mtt2022_02008Evaluation of pressure and species concentration measurement using uncertainty propagationStefopoulos Georgios0Rigas Stylianos1Tsirikoglou Panagiotis2Kalfas Anestis I.3AUTh, Department of Mechanical Engineering, Laboratory of Fluid Mechanics and TurbomachineryAUTh, Department of Mechanical Engineering, Laboratory of Fluid Mechanics and TurbomachineryAUTh, Department of Mechanical Engineering, Laboratory of Fluid Mechanics and TurbomachineryAUTh, Department of Mechanical Engineering, Laboratory of Fluid Mechanics and TurbomachineryThis paper presents a probabilistic uncertainity evaluation method as described in the Guide to the Expression of Uncertainty in Measurements (GUM) and its application to probe measurements on pressure and fuel concentration. All sources of unceratinties are expressed as probability distributions. Consequently, the overall standard uncertainty of the quantity can be calculated using the Gaussian error propagation formula. The result of the uncertainty evaluation yields the most probable value of the measurand and describes its distribution in terms of rectangular (standard uncertainty) or gaussian (“expanded” uncertainty) distribution. A pitot-static probe and a fuel-concentration stem probe are used in order to demonstrate the principle of the probabilistic uncertainty evaluation method. The uncertainty induced by the pressure and concentration data acquisition system as well as the calibration of the fuel-concentration probe are included in the analysis. The overall “expanded” uncertainties for the measured and calculated values are presented as a function of different inlet fuel flows. In addition to this, the individual sources of uncertainty to the overall standard uncertainty are presented and discussed. Moreover, the transformation of standard uncertainty to “expanded” uncertainty will provide the deviation of the measurement in a 95% or 99% normal distributed interval instead of a 67% rectangular distributed interval.https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/12/e3sconf_mtt2022_02008.pdf
spellingShingle Stefopoulos Georgios
Rigas Stylianos
Tsirikoglou Panagiotis
Kalfas Anestis I.
Evaluation of pressure and species concentration measurement using uncertainty propagation
E3S Web of Conferences
title Evaluation of pressure and species concentration measurement using uncertainty propagation
title_full Evaluation of pressure and species concentration measurement using uncertainty propagation
title_fullStr Evaluation of pressure and species concentration measurement using uncertainty propagation
title_full_unstemmed Evaluation of pressure and species concentration measurement using uncertainty propagation
title_short Evaluation of pressure and species concentration measurement using uncertainty propagation
title_sort evaluation of pressure and species concentration measurement using uncertainty propagation
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/12/e3sconf_mtt2022_02008.pdf
work_keys_str_mv AT stefopoulosgeorgios evaluationofpressureandspeciesconcentrationmeasurementusinguncertaintypropagation
AT rigasstylianos evaluationofpressureandspeciesconcentrationmeasurementusinguncertaintypropagation
AT tsirikogloupanagiotis evaluationofpressureandspeciesconcentrationmeasurementusinguncertaintypropagation
AT kalfasanestisi evaluationofpressureandspeciesconcentrationmeasurementusinguncertaintypropagation