Literally an entire course between two covers, this book presents engineering students with a comprehensive tutorial of measurement uncertainty methods in a logically categorized and readily utilized format. The new uncertainty technologies embodied in both U.S. and international standards have been incorporated into this text with a view toward understanding the strengths and weaknesses of both. The book is designed to also serve as a practical desk reference in situations that commonly confront an experimenter. The author draws on years of experience in industry to direct special attention to the problem of developing confidence in uncertainty analysis results and using measurement uncertainty to select instrumentation systems.
The text presents the basics of:
Measurement uncertainty model Non-symmetrical systematic standard uncertainties Random standard uncertainties Use of correlation Curve-fitting problems and probability plotting Combining results from different test methods Calibration errors Uncertainty propagation for both independent and dependent error sources
Content:
Front Matter
• Preface
• Table of Contents
Unit 1. Introduction and Overview
Unit 2. Fundamentals of Measurement Uncertainty Analysis
Unit 3. The Measurement Uncertainty Model
Unit 4. How to Do it Summary
Unit 5. Uncertainty (Error) Propagation
Unit 6. Weighting Method for Multiple Results
Unit 7. Applied Considerations
Unit 8. Presentation of Results
Appendices
Index
• Prime Equations for Uncertainty Analysis