|
MEASUREMENT UNCERTAINTY DESCRIPTION
|
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." |
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 post test. Questions
and responses are shuffled for each user
and a documentation certificate is provided.
Onboard uncertainty calculator included.
Introduction
Measurement Assurance, Measurement Ratios,
Unacceptable examples, Accuracy, Precision,
Bias, Linearity, Repeatability, Reproduceability,
Type A and Type B Uncertainty
Time
Requirement
The
approximate amount of time needed to
complete this course is 6-8 hours.
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
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
Back
|
