Assistance for the determination of Measurement Uncertainty Analysis. Development of a prototypical implementation within the existing framework

Table of Contents

1. INTRODUCTION TO UNCERTAINTY MEASUREMENT

1.1 The Definition of Uncertainty Measurement

1.1.1 The Explanation of the Definition

1.1.2 Specification of Measurand

1.1.3 Error, Precision and Uncertainty

1.2 Sources of Uncertainty

1.3 Estimation of Uncertainties

1.3.1 Model the Process

1.3.2 ‘Type A’ Evaluation of Standard Uncertainty

1.3.3 ‘Type B’ Evaluation of Standard Uncertainty

2. GUM WORKBENCH®

2.1 The Software

2.2 Uncertainty Analysis Steps

3. EVALUATION OF THE UNCERTAINTY USING THE GUM WORKBENCH SOFTWARE

3.1 Project 1

Calibration and Measurement Uncertainty of a Power Sensor at a Frequency of 19 GHz Using the Gum Workbench Software

3.1.1 Introduction

3.1.2 The Model Equation and the Input Quantities

3.1.3 Results

3.1.4 Uncertainty budget (Kx)

3.1.5 Discussion

3.2 Project 2

Calibration And Measurement Uncertainty Of Radio Frequency Field Strength Meters Using Broad-Band E Or H-Field Sensor in the Frequency Range up to 18GHz

3.2.1 Introduction

3.2.2 The Evaluation of Uncertainty and Results using GUM

3.2.3 Discussion

4. DEVELOPMENT OF A SUPPORT USER GUIDE DESIGN FOR MEASUREMENT UNCERTAINTY ANALYSIS

4.1 Introduction

4.1.1 The Need of an Assistance System for the Evaluation of the Uncertainty

4.2 General User Guide Procedures

4.2.1 Understanding the Main Experiment

4.2.2 The Measurement Setup

4.2.3 Evaluation of the Uncertainty

4.2.4 Stating Results

4.3 Design Outline for the User Support

4.3.1 Design Outline for First Step

4.3.2 Design Outline for Second Step

4.3.3 Design Outline for Third Step

4.3.4 Design Outline for Fourth Step

4.4 Design Outline for Finding the Model Equation

5. IMPLEMENTATION OF THE USER GUIDE DESIGN AND OTHER SUGGESTED IDEAS

5.1 Introduction

5.1.1 Ways of Implementation and Suggested Ideas

5.2 User Guide Design

Objectives and Research Themes

This Master's thesis aims to support the determination of measurement uncertainty by developing a prototypical user guide and assistance system for the GUM Workbench® software, enabling less experienced users in industrial environments to perform accurate uncertainty analyses.

• Measurement uncertainty analysis according to GUM standards
• Prototypical development of a user-support assistance system
• Case studies: Calibration of Power Sensors and RF Field Strength Meters
• Process optimization and partial automation of uncertainty evaluation
• Integration of user-friendly interface designs into GUM Workbench®

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Summary of Chapters

1. INTRODUCTION TO UNCERTAINTY MEASUREMENT: Defines the fundamental concepts of measurement uncertainty, distinguishes between error and uncertainty, and identifies common sources of uncertainty in experimental procedures.

2. GUM WORKBENCH®: Introduces the GUM Workbench® software as a tool for evaluating measurement uncertainty according to international standards and describes its general analysis workflow.

3. EVALUATION OF THE UNCERTAINTY USING THE GUM WORKBENCH SOFTWARE: Applies the software in two practical case studies: the calibration of a power sensor and the uncertainty analysis of radio frequency field strength meters.

4. DEVELOPMENT OF A SUPPORT USER GUIDE DESIGN FOR MEASUREMENT UNCERTAINTY ANALYSIS: Outlines a structured design for an assistance system aimed at guiding users through the necessary steps of an uncertainty evaluation.

5. IMPLEMENTATION OF THE USER GUIDE DESIGN AND OTHER SUGGESTED IDEAS: Proposes specific technical implementations for the assistance system, such as a tutorial/procedure bar and integrated constants lists, to enhance user efficiency.

Keywords

Measurement Uncertainty, GUM, GUM Workbench, Metrology, Calibration, Power Sensor, RF Field Strength, Assistance System, User Guide, Standard Uncertainty, Type A Evaluation, Type B Evaluation, Measurement Procedure, Industrial Quality Control, Sensitivity Coefficient

Frequently Asked Questions

What is the primary focus of this thesis?

The thesis focuses on facilitating the determination of measurement uncertainty by providing a supportive user guide design for the GUM Workbench® software, specifically for users with varying levels of mathematical and physical background.

What are the central themes discussed in the work?

Key themes include the theoretical definition of measurement uncertainty, the systematic evaluation of uncertainty sources, practical calibration processes, and the development of software-based assistance solutions.

What is the core objective of the proposed assistance system?

The goal is to simplify the complex task of evaluating measurement uncertainty by offering a clear, step-by-step workflow that guides users from the initial measurement task to final documentation and reporting.

Which scientific methods are utilized for the uncertainty evaluation?

The work utilizes standard GUM procedures, including Type A (statistical analysis of repeated observations) and Type B (scientific judgment based on calibration data, handbooks, and specifications) evaluations.

What topics are covered in the main body of the thesis?

The main body covers the fundamentals of uncertainty, the functionality of GUM Workbench®, specific case studies involving power sensors and field strength meters, and the detailed architectural design of the proposed user support system.

Which keywords best describe this research?

Essential keywords include Measurement Uncertainty, GUM, Calibration, RF Field Strength, Assistance System, and User Guide.

How is the calibration factor defined for the power sensor project?

The calibration factor is defined as the ratio of incident power at the reference frequency of 50 MHz to the incident power at the calibration frequency, ensuring both produce the same sensor response.

Why is the "Cause and Effect" diagram recommended in the thesis?

The diagram is recommended as a convenient method to list all potential uncertainty sources and visualize how they relate to one another, preventing the double-counting of influences.

How does the suggested alarm threshold setting improve safety?

By setting the alarm threshold lower than the limiting value by the amount of the expanded uncertainty (e.g., 35V/m instead of 45V/m), the technician ensures a safety probability of over 95% even under unfavorable conditions.