Measurement Uncertainty
Course Description
Join subject matter experts from all over the field of metrology in an interactive exploration of this critical topic. The course includes a glossary, Pretest, embedded questions, and a Posttest. Questions and responses are shuffled for each user and a documentation certificate is provided. Onboard uncertainty calculator included.
ISO 9000
"Equipment shall be used in a manner which ensures that the measurement uncertainty is known and is consistent with the required measurement capability."
ISO 10012 4.6
"In performing measurements and in stating and making use of results, the supplier shall take into account all significant identified uncertainties in the measurement process including those that are attributable to measuring equipment and those contributed by personnel, procedures and environment."
Course Topics
Uncertainty Budgets
Components, Sources of Uncertainty
Essentials of Expressing Measurement Uncertainty
Definitions, Evaluating, Distributions; Uniform, Triangular, Nominal, Combining, Expanded, Examples
Specification
Coverage Factors, Confidence Limits Correlation, Reporting Uncert; Manufacturer, User, Capabilities Statement, Traceability
Risk Analysis Introduction
Quantification, Consumer vs Producer, Approximation Methods, Measurement; Average Quality Level, Distribution, Bias, TUR, Guardband Limits, Interval Width, Delta Specification Limit, EOP% Intolerance
Related Statistical Tools
PMAP, Process Capability, Gage R & R, ANOVA, Models for Measurement Uncertainty Analysis, Sample Plans, Structure of Random Samples, Reverse Standards
Final Test
30 questions, instructor has option of granting Certificate of Completion
Standards
Background and list of member organizations NIST-1297, ISO-GUM, NASA
Software
Features and Benefits; ISG, Compaq, Dikken, Boeing, Gage R & R
Features and Benefits
Statistics, JMP, Minitab
Summary
Developing a Company Specific Uncertainty Guide
Contributors
AIAG, Raymond Gill, AMETEK - Richardo Nicholas, Boeing - Michael Czech, St. Jude Medical - Warren Wong, Fluke - NIST, NASA - David Dikken, MTL