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Training    Measurement Uncertainty Analysis    Intro to Uncertainty Analysis Course Outline

  

Introduction to Uncertainty Analysis 

Course Outline

 

This outline applies to the course of instruction presented by Integrated Sciences Group that provides a straightforward and easy-to-understand introduction to the principles of measurement uncertainty analysis as found in the ISO Guide to the Expression of Uncertainty in Measurement (the ISO GUM) and NCSLI Recommended Practice 12 (RP-12) Determining and Reporting Measurement Uncertainty.  Type A and Type B methods of estimating measurement process uncertainties are discussed and multivariate analysis is outlined. Instruction involves minimal statistics with hands-on use of ISG’s Uncertainty Sidekick Pro to illustrate concepts for a variety of direct measurement scenarios. The role that uncertainty estimates play in developing specifications and making decisions is also discussed.  Click class schedule for our current training dates.

 

Course Objectives

 

This course is designed for calibration managers, supervisors and technical personnel responsible for implementing uncertainty analysis methods and procedures for ISO 17025 compliance. Upon completion of the course, students will know how to: 

 

  • Define measurement processes

  • Identify sources of measurement error

  • Select the appropriate error distributions

  • Estimate uncertainties using Type A and Type B analysis methods

  • Establish error correlations

  • Determine sensitivity coefficients

  • Combine uncertainties

  • Develop and report uncertainty estimates for direct and multivariate measurements

 

Day One - Uncertainty Analysis Foundation

 

On the first day of the course, measurement uncertainty is defined , the framework for uncertainty analysis is established and concepts central to estimating and combining uncertainties are presented. Instruction includes class quizzes to illustrate and re-enforce key concepts and methods.

 

Why Estimate Uncertainty?
Standards Requirements
Technology Management Requirements

 

Uncertainty Analysis Guidelines
The GUM

 

Error and Uncertainty
Measurement Error Definition
Error Classification
Error Description
Parameter Measurement Error

   Error Distributions
  
Overview
   Key Elements
   Attribute Measurement
   Parameter Measurement
   Error Propagation
   Applicable Distributions

   

   Quantifying Uncertainty
   Error Variance
   Uncertainty Definition
   The Variance Addition Rule
   Combining Uncertainties

 

Day Two - Estimating Uncertainty

 

On the second day of the course, Type A and Type B methods of estimating measurement process uncertainties are discussed. Instruction includes class quizzes and hands-on examples using Uncertainty Sidekick Pro to illustrate and re-enforce key concepts, methods and procedures.

 

Review of Day 1

  

Types of Uncertainty Estimates
Type A Estimates
Type B Estimates
Type A,B Estimates

 

Estimating Process Uncertainties
Bias Uncertainty
Random Uncertainty
Resolution Uncertainty
Environmental Factors Uncertainty

Operator Bias

Other Process Uncertainty
Recap of Process Uncertainty Estimation

   Direct Measurement Examples
   Example 1 - DC Voltage Calibration

        Parameter Bias Uncertainty

        Random Uncertainty

        Resolution Uncertainty

        Reporting the Analysis Results

 

   Example 2 - Micrometer Calibration

        Parameter Bias Uncertainty

        Random Uncertainty

        Resolution Uncertainty

        Operator Bias Uncertainty

        Environmental Factors Uncertainty

        Accounting for Error Correlations

        Reporting the Analysis Results

 

Day Three - Estimating Uncertainty

 

The last half day of the course outlines the general framework for conducting multivariate analyses. The role that uncertainty estimates play in developing specifications and making decisions is also discussed.  Instruction includes class quizzes and hands-on use of Uncertainty Sidekick Pro to illustrate and re-enforce key concepts, methods and procedures.

 

Overview of Multivariate Analysis
Defining the System Equation

Identifying Measurement Process Errors

Selecting the Error Distributions

Estimating Measurement Process Uncertainties

Accounting for Error Correlations

Combining the Uncertainties

Reporting the Analysis Results

 

Multivariate Analysis Examples

Class Quiz - Measuring the Area of a Plate

Example 3 - Load Cell Calibration

     Defining the Measurement Process

     Identifying Measurement Process Errors

     Interpreting Equipment Specifications

     Estimating Measurement Process Uncertainties

     Combining the Uncertainties

     Reporting the Analysis Results

   Using Uncertainty Estimates
  
Set Tolerance Limits
   Analyze Risks in Testing and Calibration
   Perform Statistical Tests

 

What to Bring

 

PC Notebook
A PC laptop running Windows 2000, XP, 7, 8 or 10 is required.

 

Study Materials
A student workbook, Uncertainty Sidekick Pro and a User Manual are provided.

 

Analysis Problems
Bring any uncertainty analysis problems that are of interest to your workplace.

 

 

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Integrated Sciences Group
14608 Casitas Canyon Road • Bakersfield, CA 93306
Phone 1-661-872-1683 • FAX 1-661-872-3669

 

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Page Updated July 26, 2017