• Title/Summary/Keyword: GUM(Guide to the expression of Uncertainty in Measurement)

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The Concept of Measurement Uncertainty and the GUM (측정불확도의 개념과 GUM)

  • Jong Wha Lee
    • Journal of the Korean Chemical Society
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    • v.67 no.5
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    • pp.319-332
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    • 2023
  • Ever since the development of the Guide to the Expression of Uncertainty in Measurement (GUM) in 1993, the concept of measurement uncertainty has been considered a core concept in metrology and the importance of proper uncertainty evaluation has continuously been increasing. Unfortunately, few papers in Korean are available that introduce the concept of measurement uncertainty and the GUM correctly and in sufficient detail. This review describes in detail the mathematical, historical, and philosophical background behind the concept of measurement uncertainty and the GUM, and also discusses some special aspects of uncertainty evaluation in chemical analysis.

The Confidence Estimation of MOI Measurement Equipment using Uncertainty Analysis (불확도 분석을 이용한 관성모멘트 측정장비의 신뢰도평가)

  • Kim, KwangRo;Kang, HuiWon;Shul, ChangWon
    • Journal of Aerospace System Engineering
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    • v.12 no.3
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    • pp.53-57
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    • 2018
  • The Monte Carlo simulation (MCS) method and the Guide to the Expression of Uncertainty in Measurement (GUM) are the most widely used approaches for uncertainty estimation. In this paper, MCS and GUM were used to estimate the confidence of MOI measurement equipment developed in-house. According to the results, the GUM estimated uncertainty was slightly underestimated compared to the MCS method. This difference is due to the approximation used by GUM. MOI uncertainties estimated by both methods were less than 1% of the estimate, which shows the high measurement reliability of the developed MOI measurement system.

Comparison of measurement uncertainty calculation methods on example of indirect tensile strength measurement

  • Tutmez, Bulent
    • Geomechanics and Engineering
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    • v.12 no.6
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    • pp.871-882
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    • 2017
  • Indirect measure of the tensile strength of laboratory samples is an important topic in rock engineering. One of the most important tests, the Brazilian strength test is performed to obtain the tensile strength of rock, concrete and other quasi brittle materials. Because the measurements are provided indirectly and the inspected rock materials may have heterogeneous properties, uncertainty quantification is required for a reliable test evaluation. In addition to the conventional measurement evaluation uncertainty methods recommended by the Guide to the Expression of Uncertainty in Measurement (GUM), such as Taylor's and Monte Carlo Methods, a fuzzy set-based approach is also proposed and resulting uncertainties are discussed. The results showed that when a tensile strength measurement is measured by a laboratory test, its uncertainty can also be expressed by one of the methods presented.

A Study on the Modeling and Propagation to Evaluate Uncertainties in Measurement Results (측정결과의 불확도산정을 위한 모델링과 불확도 전파에 관한 연구)

  • 김종상;조남호
    • Journal of the Korea Society of Computer and Information
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    • v.8 no.4
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    • pp.165-175
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    • 2003
  • The concept of measurement uncertainty has been recognised for many years since "Guide to the Expression of Uncertainty in Measurement" was published 1993 by ISO. This study firstly propose the mathematical model to evaluate uncertainty considering the dispersion of samples because the mathematical model of a measurement is an important to evaluate uncertainty, and it must contains every quantify which contribute significantly to uncertainty in the measurement result. Secondly the standard uncertainty of the result of a measurement, namely combined standard uncertainty is evaluated using the law of propagation of uncertainty, what is termed in GUM method. In GUM method, a measurand is usually approximated by a linear function of its variables by the transforming its input quantities. Furthermore central limit theorem is applied to the input quantity. However the mathematical model of a measurement is generally not always a linearity function, and a distribution function of input or output quantity is not necessarily normal distribution. Then, in some cases GUM method is not favorable to evaluate a measurement uncertainty. Therefore this study propose a new method and its algorithm which use the Monte-carlo simulation to evaluate a measurement uncertainty in both case of linearity or non-linearity function. function.

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Uncertainty analysis for Section-by-Section method of ADCP discharge measurement based on GUM standard (GUM 표준안 기반 ADCP 지점 측정 방법 유량 측정 불확도 분석)

  • Kim, Dongsu;Kim, Jongmin;Byeon, Hyunhyuk;Kang, Junkoo
    • Journal of Korea Water Resources Association
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    • v.50 no.8
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    • pp.521-535
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    • 2017
  • Acoustic Doppler Current Profilers (ADCPs) have been widely utilized for assessing streamflow discharge, yet few comprehensive studies were conducted to evaluate discharge uncertainty in consideration of individual uncertainty components. It could be mostly because it was not easy to determine which uncertainty framework can be appropriate to rigorously analyze streamflow discharge driven by ADCPs. In this regard, considerable efforts have been made by scientific and engineering societies to develop a standardized theoretical framework for uncertainty analysis in hydrometry. One of the well-established UA methodology based on sound statistical and engineering concepts is Guide to the Expression of Uncertainty Measurement (GUM) adopted widely by various scientific and research communities. This research fundamentally adapted the GUM framework to assess individual uncertainty components of ADCP discharge measurements, and subsequently provided results of a customized experiment in a controllable real-scale artificial river channel. We focused particularly upon sensitivities of uncertainty components in the GUM framework driven by ADCPs direct measurements such as depths, edge distance, submerged depth, velocity gap, sampling time, repeatability, bed roughness and so on. Section-by-Section method for ADCP discharge measurement was applied for uncertainty analysis for this study. All of measurements were carefully compared with data using other instrumentations such as ADV to evaluate individual uncertainty components.

Uncertainty of Measurement in Nitrate Analysis from Burley Leaf Tobacco (버어리종 담배 중 질산성 질소에 대한 측정불확도)

  • Lee Jeong-Min;Lee Kyoung-Ku;Han Sang-Bin
    • Journal of the Korean Society of Tobacco Science
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    • v.27 no.2
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    • pp.226-234
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    • 2005
  • The uncertainty of measurement in nitrate from burley leaf tobacco by continuous-flow analysis method was evaluated following internationally accepted guidelines. The sources of uncertainty associated with the analysis of nitrate were weight of standard and sample, purity of standard, dilution of standard solution, calibration curve, water content, etc. The calculation of uncertainty based on the GUM(Guide to the Expression of Uncertainty in Measurement) and EURACHEM/CITAC Guide. An expanded uncertainty was obtained by multiplying the combined standard uncertainty with a coverage factor (k) calculated from the effective degree of freedom. The concentration of nitrate from burley leaf tobacco was $2.09\%$ and the expanded uncertainty by multiplying by the coverage factor(k, 2.20) was $0.13\%\;at\;a\;95\%$ confidence level.

Measurement Uncertainty of Vibration Testing Result with Including Uncertainty of Testing Facilities (시험장비의 특성을 고려한 진동시험결과에 대한 측정불확도 추정)

  • Moon, Seok-Jun;Chung, Jung-Hoon
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.26 no.7
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    • pp.781-786
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    • 2016
  • All measurements are subject to uncertainty and a measurement result is complete only when it is accompanied by a statement of the associated uncertainty. By international agreement, this uncertainty has a probabilistic basis and reflects incomplete knowledge of the quantity value. The "Guide to the Expression of Uncertainty in Measurement", commonly known as the GUM, is the definitive document on this subject. The requirements for estimation of measurement uncertainty apply to all results provided by calibration laboratories and results produced by testing laboratories under the optional circumstances. In this paper, a procedure for estimation of measurement uncertainty from vibration testing is proposed on KS F 2868:2003 as an example. Both Type A and Type B evaluation of uncertainty are considered to calculate the combined standard uncertainty and expanded uncertainty.

Calculation of Vertical Wind Profile Exponents and Its Uncertainty Evaluation - Jeju Island Cases (풍속고도분포지수 산정 및 불확도 평가 - 제주도 사례)

  • Kim, You-Mi;Kim, Hyun-Goo;Kang, Yong-Heack;Yun, Chang-yeol;Kim, Jin-Young;Kim, Chang Ki;Kim, Shin-Young
    • Journal of the Korean Solar Energy Society
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    • v.36 no.4
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    • pp.11-20
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    • 2016
  • For accurate wind resource assessment and wind turbine performance test, it is essential to secure wind data covering a rotor plane of wind turbine including a hub height. In general, we can depict wind speed profile by extrapolating or interpolating the wind speed data measured from a meteorological tower where multiple anemometers are mounted at different heights using a power-law of wind speed profile. The most important parameter of a power-law equation is a vertical wind profile exponent which represents local characteristics of terrain and land cover. In this study, we calculated diurnal vertical wind profile exponents of 8 locations in Jeju Island who possesses excellent wind resource according to the GUM (Guide to the Expression of Uncertainty in Measurement) to evaluate its uncertainty. Expanded uncertainty is calculated by combined standard uncertainty, which is the result of composing type A standard uncertainty with type B standard uncertainty. Although pooled standard deviation should be considered to derive type A uncertainty, we used the standard deviation of vertical wind profile exponent of each day avoiding the difficult of uncertainty evaluation of diurnal wind profile variation. It is anticipated that the evaluated uncertainties of diurnal vertical wind profile exponents at 8 locations in Jeju Island are to be registered as a national standard reference data and widely used in the relevant areas.

Measurement Uncertainty of Nicotine in Environmental Tobacco Smoke (ETS)

  • Lee, Jeong-Il;Lee, Cheol Min;Shim, In-Keun;Kim, Seong-Mi;Lee, Woo-Seok;Kim, Yoon-Shin
    • Bulletin of the Korean Chemical Society
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    • v.34 no.8
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    • pp.2394-2398
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    • 2013
  • Nicotine is the main component of environmental tobacco smoke, and its presence in indoor air is widely used as a secondhand-smoke indicator. Environmental tobacco smoke is a major source of indoor air pollution, but sufficient investigation of the uncertainty of its measurement, which mirrors the reliability of nicotine measurement, has not been performed. We calculated the uncertainty of measurement of indoor air nicotine concentration at low, medium, and high concentrations of 11.3798, 10.1977, $98.3768{\mu}g/m^3$, respectively, and we employed the Guide to the Expression of Uncertainty in Measurements (GUM), proposed by the International Organization for Standardization (ISO). The factors considered in determining the uncertainty were uncertainty of the calibration curve (calibration curve and repeated measurements), desorption efficiency, extraction volume, and sampling airflow (accuracy and acceptable limits of flowmeter). The measurement uncertainty was highest at low concentrations; the expanded measurement uncertainty is $0.9435{\mu}g/m^3$ and is represented as a relative uncertainty of 63.38%. At medium and high (concentrations, the relative uncertainty was 13.1% and 9.1%, respectively. The uncertainty of the calibration curve was largest for low indoor nicotine concentrations. To increase reliability of measurement in assessing the effect of secondhand smoke, measures such as increasing the sample injection rate ($1{\mu}L$ or more), increasing sampling volume to increase collected nicotine, and using gas chromatography-mass spectrometry (GC/MS) or GC/MS/MS, which has a lower quantitation threshold, rather than gas chromatography with nitrogen phosphorous detector, should be considered.

Measurement Uncertainty for Analytical Method of Hyaluronic Acid Used as a Dietary Supplement (식이보충제로 사용되는 히알루론산의 분석법에 대한 불확도 산정)

  • Park, Sang-Wook;Kim, Hyung Bum;Kim, Kwang Joon;Lee, Wonjae
    • KSBB Journal
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    • v.32 no.1
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    • pp.54-62
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    • 2017
  • This study aimed to estimate the measurement uncertainty related to determination of hyaluronic acid used as a dietary supplement by high-performance liquid chromatography. According to the guidelines of the Association of Official Analytical Chemists, the analytical processes for determination of hyaluronic acid were performed. And the measurement uncertainty obtained during the analytical processes were expressed in accordance with mathematical/ statistical guidances of GUM (Guide to the Expression of Uncertainty in Measurement) & EURACHEM (Focus for Analytical Chemistry in Europe) for the analytical operations. For the uncertainty in measurement produced based on this analytical method, the expanded uncertainty was calculated by using the relative standard uncertainty between analytical results and sources of uncertainty in measurement (sample weight, final volume, extraction volume, standard solution, matrix and instrument etc). In the results of 95% confidence interval, it was calculated that the uncertainty in measurement was $57.75{\pm}8.76{\mu}g/kg$ (k=2.0). Therefore, it showed that the measurement uncertainty obtained by this analytical method influences on 15.2% of the contents of hyaluronic acid as the analytical results.