Top-down approach for the estimation of measurement uncertainty based on quality control data and grey system theory
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Pan Liu
Abstract
Uncertainty is the scientific representation of the quality level and dispersion of measured results. Considering the problems with the current classical uncertainty evaluation method (namely, the GUM method), such as the repeated evaluation, omission and difficulties in quantifying uncertainty components, a ‘top-down’ approach represented by the control chart method is proposed, using the intermediate precision standard deviation of laboratory quality control data accumulated over a long period of time to indicate measurement uncertainty. Based on the principle of the ‘top-down’ approach, a new evaluation method for the measurement uncertainty of laboratory quality control data is proposed here, which use the standard deviation defined by grey system theory to indicate uncertainty (abbreviated as quality control – grey method). Furthermore, we have evaluated the measurement uncertainty of hydrogen in titanium using the quality control -grey system theory method, based on quality control data according to the inert gas fusion thermal conductivity method in the laboratory. The results achieved are 12.6 ± 4.0 μg × g−1, k = 2, which is consistent with the value of 12.6 ± 3.5 μg × g−1, k = 2, evaluated by the quality control chart method. The quality control-grey evaluation method developed a top-down uncertainty estimate approach and provides a new idea and tool for physical and chemical laboratories to evaluate measurement uncertainty using quality control data that has been accumulated.
References
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© 2019, Carl Hanser Verlag, München
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Articles in the same Issue
- Inhalt/Contents
- Contents
- Fachbeiträge/Technical Contributions
- Effects of pre- and post-weld heat treatment conditions on microstructures of cast nickel based superalloys GTD-111 in the laser welding process
- Evaluation of the low-cycle fatigue strength of Sn3.0Ag0.5Cu solder at 313 and 353 K using a small specimen
- The Harris hawks, grasshopper and multi-verse optimization algorithms for the selection of optimal machining parameters in manufacturing operations
- A new hybrid Harris hawks-Nelder-Mead optimization algorithm for solving design and manufacturing problems
- The Harris hawks optimization algorithm, salp swarm algorithm, grasshopper optimization algorithm and dragonfly algorithm for structural design optimization of vehicle components
- Axial crushing behavior of circular aluminum tubes
- Effect of substrate surface preparation on cold sprayed Al-Zn-Al2O3 composite coating properties
- Top-down approach for the estimation of measurement uncertainty based on quality control data and grey system theory
- Hoop tensile and compression behavior of glass-carbon intraply hybrid fiber reinforced filament wound composite pipes
- Non-linear modeling of mechanical properties of plasma arc welded Inconel 617 plates
- Wear testing of in situ cast AA8011-TiB2 metal matrix composites
- Microstructure, mechanical properties and ELM based wear loss prediction of plasma sprayed ZrO2-MgO coatings on a magnesium alloy
- Energy consumption model for the pipe threading process using 10 wt.-% Cu and 316L stainless steel powder-reinforced aluminum 6061 fittings
- Effect of matrix material and orientation angle on tensile and tribological behavior of jute reinforced composites
