Masterarbeit, 2015
55 Seiten, Note: 2
This master's thesis aims to contribute to the development of a prototype assistance system for measurement uncertainty analysis within the existing framework of the GUM WorkbenchⓇ software. The project focuses on improving the user experience by simplifying the complex process of determining measurement uncertainty, making it more accessible for metrologists in various fields.
The primary focus of this work lies in measurement uncertainty analysis, particularly within the framework of the GUM WorkbenchⓇ software. Key themes explored include the development of user-friendly assistance systems for uncertainty analysis, automation of specific process steps, and the provision of informative guidance to users. The project aims to bridge the gap between the complexity of uncertainty analysis and the need for accessible tools for practical applications in various fields like industrial quality control and scientific research.
It is the process of quantifying the doubt that exists about the result of any measurement, following standards like the "Guide to the Expression of Uncertainty in Measurement" (GUM).
It is a specialized software tool that performs mathematical evaluations and generates uncertainty budgets based on a model of the measurement process.
Type A evaluation is based on statistical analysis of a series of observations, while Type B is based on other information such as calibration certificates or manufacturer specifications.
Applying GUM rules can be complex; an assistance system helps define model equations and automates steps to reduce errors and increase efficiency in industrial settings.
Sources include environmental conditions, instrument calibration, operator bias, and the inherent variability of the measurand itself.
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