9.00am – 4:30pm Various ongoing future dates
Faculty of Engineering, Environment and Computing
Get in touch
Faculty of Engineering, Environment and Computing commercial team
+44 (0) 24 7765 9009
+44 (0) 24 7765 9009
A two-day course covering the scoping, calculation and application of industrial related measurement uncertainty.
If you are involved in calibration, planning a new measuring process, buying new equipment, looking to move to a new site or considering introducing other change to the process, then measurement uncertainty will contribute greatly to improve that decision-making process prior to change and help mitigate the inevitable problems and workarounds that then occur. Examples will be given and interpretation and common practice covered both in applying uncertainty budgets and what next.
Learn how to understand the measurement uncertainty model in accordance with the international standards including the Guide to Uncertainty in Measurement (GUM), BS EN ISO/IEC 17025, ISO TS 14253, M3003 and others.
Understand how to interpret and apply the measurement uncertainty results, statistical and probability models, designing the measurement process and gaining an understanding of its static and dynamic characteristics.
Identifying and quantifying the inputs including imported uncertainties, probability density functions f(x), and assess sampling methods. Calculate sensitivity coefficients and combing them mathematically in accordance with the GUM and other standards.
Construct the uncertainty budget to an expanded uncertainty and potentially improve your selection of the measurement process through analysis of the developed uncertainty model that has been constructed.
Who should attend?
This course is suitable for measuring system champions. Production / Manufacturing / Quality / Design Engineers who wish to gain an appreciation of uncertainty. Any individual who is the technical lead on the purchase of new measuring systems or involved in new part introduction and for those with a requirement to plan measurement or understand the results from measurement systems.