Influence of the Number of Measured Samples on the Results of the Analysis of Repeatability and Reproducibility of the Measurement System.

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F10%3A86076285" target="_blank" >RIV/61989100:27360/10:86076285 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Influence of the Number of Measured Samples on the Results of the Analysis of Repeatability and Reproducibility of the Measurement System.

Popis výsledku v původním jazyce

Measurement System Analysis (MSA) is one of the basic tools of quality management, which deals with assessing the quality of the measured data. Currently, the most common method used in this analysis is the analysis of repeatability and reproducibility of the measurement system (GRR). For economic or time reasons, is not always possible to perform this analysis with the recommended number of samples. This article is aimed at assessing the impact of the number of samples used for the implementation and results of the analysis of repeatability and reproducibility of the measurement system. They analyzed the effects of a reduced number of samples for analysis results, particularly in relation to confidence intervals determined values of repeatability andreproducibility of measurements (Fig. 1). As part of this article is an analysis of the conditions under which you can influence the number of samples to minimize the results of the analysis GRR.

Název v anglickém jazyce

Influence of the Number of Measured Samples on the Results of the Analysis of Repeatability and Reproducibility of the Measurement System.

Popis výsledku anglicky

Measurement System Analysis (MSA) is one of the basic tools of quality management, which deals with assessing the quality of the measured data. Currently, the most common method used in this analysis is the analysis of repeatability and reproducibility of the measurement system (GRR). For economic or time reasons, is not always possible to perform this analysis with the recommended number of samples. This article is aimed at assessing the impact of the number of samples used for the implementation and results of the analysis of repeatability and reproducibility of the measurement system. They analyzed the effects of a reduced number of samples for analysis results, particularly in relation to confidence intervals determined values of repeatability andreproducibility of measurements (Fig. 1). As part of this article is an analysis of the conditions under which you can influence the number of samples to minimize the results of the analysis GRR.

Druh

D - Stať ve sborníku

CEP obor

JS - Řízení spolehlivosti a kvality, zkušebnictví

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

XXXV. Seminar ASR 2010 Instruments and Control

ISBN

978-80-248-2191-7

ISSN

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e-ISSN

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Počet stran výsledku

7

Strana od-do

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Název nakladatele

VŠB-TU Ostrava

Místo vydání

Ostrava

Místo konání akce

Ostrava

Datum konání akce

30. 4. 2010

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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