• Title/Summary/Keyword: Gauge R&R

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Development and Implementation of Experimental Design Process for Estimating the Measurement Precisions (측정 정밀도 추정을 위한 게이지 실험계획 프로세스 개발 및 적용)

  • Choi, Sung-Woon
    • Proceedings of the Safety Management and Science Conference
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    • 2009.11a
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    • pp.557-563
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    • 2009
  • The research develops measurement processes for estimating and evaluating the gauge R&R(Reproducibility & Repeatability) using ANOVA(Analysis of Variance) of experimental design tools. The ten-step processes developed include experimental goal setting, the selection of characteristics(factors, levels), data model, ANOVA, EMS(Expected Mean Square), estimation of gauge precisions, and evaluation indexes. The three-factor combined measurement models are presented to show the processes developed in this paper.

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Calculation of Gauge Precisions by Measurement Experimental Design for Split Split Plots (2단분할법 측정 실험계획에 의한 게이지 정밀도 산정)

  • Choi, Sung-Woon
    • Proceedings of the Safety Management and Science Conference
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    • 2009.11a
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    • pp.649-657
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    • 2009
  • The paper presents the measurement split split-plot models for saving the time and cost. The split split-plot designs developed are efficiently used to estimating the gauge R&R(Reproducibility & Repeatability) when the completely randomized design of all factors(such as high pressure and temperature) is expensive and time consuming. The models studied include three split split-plots considering the type of experimental units.

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Review of Gauge R&R Studies by Restricted and Unrestricted Design in the Two-Factor Mixed Model (2인자 혼합모형의 제약과 비제약 설계에 의한 게이지 R&R 연구의 고찰)

  • Choi, Sung-Woon
    • Proceedings of the Safety Management and Science Conference
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    • 2009.11a
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    • pp.657-665
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    • 2009
  • The paper reviews gauge R&R studies by two-factor mixed models including random and fixed factors. The two-factor mixed models include restricted models and unrestricted models considering the interaction of two factors. This study also classifies the models according to the number of factors, and the combination of various factors such as random factor, fixed factor, block factor and repetition type.

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Gauge Capability Analysis and Designed Experiments (계측기 능력분석과 실험계획법)

  • Baik, Jaiwook;Jo, Jinnam
    • Journal of Korean Society for Quality Management
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    • v.24 no.3
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    • pp.145-159
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    • 1996
  • In today's organization, measurement plays a crucial role in helping improve process or quality. In this paper, we review the measurement error study, classical gauge repeatability and reproducibility study, and designed experiment suited for the determination of the measurement capability. Measurement error study is very simple to use but is rather crude. Hence, it should be used as a preliminary study to determine whether further study is necessary. Classical gauge repeatability and reproducibility (GR&R) study is the most common technique for evaluation of gauge capability. It calculates a percentage that relates the repeatability, reproducibility, and overall R&R to the specification range for the parameter measured. Hence, the individual repeatability and reproducibility statistics will indicate the area on which to concentrate. However, GR&R study only gives a point estimate of each component, which leaves a room for improvement. It is always good to integrate the use of control charts to ascertain the statistical stability of the measurement process. The tools of statistical experimental design are available for a comprehensive design and analysis of the measurement process. Hence, in this paper, we present gauge capability analysis as an experimental design problem and compare it with the classical GR&R study.

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Extension and Review of Restricted and Unrestricted Mixed Models in the Generalized Linear Models (GLM에서 제약과 비제약 혼합모형의 고찰 및 확장)

  • Choi, Sung-Woon
    • Proceedings of the Safety Management and Science Conference
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    • 2009.04a
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    • pp.185-192
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    • 2009
  • The research contributes extending and reviewing of restricted (constrained) and unrestricted (unconstrained) models in GLM(Generalized Linear Models). The paper includes the methodology for finding EMS(Expected Mean Square) and $F_0$ ratio. The results can be applied to the gauge R&R(Reproducibility and Repeatability) in MSA(Measurement System Analysis).

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Fabrication of Inkjet Printed Strain Gauge Using PEDOT:PSS (PEDOT:PSS기반 잉크젯 프린팅 스트레인 게이지의 제작)

  • Kye, Ji Won;Han, Dong Cheul;Shin, Han Jae;Yeom, Se-hyuk;Lee, Wanghoon
    • Journal of Sensor Science and Technology
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    • v.26 no.1
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    • pp.56-59
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    • 2017
  • This paper presents the Inkjet-printed strain gauge using PEDOT:PSS. The strain gauge (width 0.6 mm, length 20 mm, thickness $0.3{\mu}m$) was printed on the PET film using PEDOT:PSS ink. The resistance variation of the fabricated strain gauge was measured by the digital multi-meter with the displacement range of -4 to 10 mm. As the measured result, resistance variation (${\Delta}R/R_0$) has approximately 0.75%, linearity of 99.87%. The fabricated strain gauge is expected to the various applications such as tape type pressure sensor, PMS(pressure mapping sensor), wearable devices.

Decision of G/R Ratio for the Correction of Mean-Field Bias of Radar Rainfall and Linear Regression Problem (레이더 강우의 평균보정을 위한 G/R 비의 결정과 선형 회귀 문제)

  • Yoo, Chulsang;Park, Cheolsoon;Yoon, Jungsoo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.31 no.5B
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    • pp.393-403
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    • 2011
  • This study theoretically reviewed the empirical G/R ratio by considering three regression and trend lines; the general linear regression curve, linear regression curve passing the origin, and the line passing the origin and the mass center of observed data. This review included the problem of choosing the independent variable and that of considering the zero measurements. This review result was also applied to the Typhoon Maemi in 2003 for their evaluation. Additionally, those regression and trend lines were compared using the RMSE between the corrected radar rainfall and observed rain gauge rainfall to select the most appropriate G/R ratio. Summarizing the results is as follows. First, the results of selecting the rain gauge rainfall as the independent variable were found better than the opposite case. Second, the effect of zero measurements varies depending on the structure of radar and rain gauge rainfall. Finally, the results from the comparison of three regression and trend lines shows that the slope of the regression line passing the origin with its independent variable of rain gauge rainfall would be used most appropriately for the G/R ratio, especially when the corrected radar rainfall is used for the flood analysis. The effect of zero measurements in this case was found not so significant.

Analysis of Measurement Precisions Using Measurement Experimental Design for Split Plot (단일분할법 측정 실험계획을 이용한 정밀측정도 분석)

  • Choi, Sung-Woon;You, Jung-Sang
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.32 no.4
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    • pp.223-227
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    • 2009
  • The study presents two measurement split-plot models with a restricted randomization to save cost and time. Split-plot models are used to handle HTCM (Hard To Control Measurement) factors such as high temperature and long-time catalyst control. The models developed are represented by the processes for estimating the measurement precisions, that is, gauge R&R. The study also introduces three-step procedures to indentify resolution, improve R&R reduction, and evaluate the precision effect.