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Measurement Uncertainty: Methods and Applications 5th edition [Pehme köide]

(Houghton College, Houghton, NY; Trinity College, Hartford, CT)
  • Formaat: Paperback / softback, 378 pages, kõrgus x laius: 229x152 mm, kaal: 783 g
  • Sari: International Society of Automation
  • Ilmumisaeg: 20-Apr-2026
  • Kirjastus: ISA
  • ISBN-10: 1941546943
  • ISBN-13: 9781941546949
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Measurement Uncertainty: Methods and Applications 5th editionSuurem pilt
  • Formaat: Paperback / softback, 378 pages, kõrgus x laius: 229x152 mm, kaal: 783 g
  • Sari: International Society of Automation
  • Ilmumisaeg: 20-Apr-2026
  • Kirjastus: ISA
  • ISBN-10: 1941546943
  • ISBN-13: 9781941546949
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781941546949.html
An entire course, as well as an excellent desk reference, this edition presents students and professionals in engineering and science with a comprehensive tutorial of measurement uncertainty methods in a logically categorized and easy to use format.

What is new?

More detailed examples of uncertainty computation Discussion of new uncertainty technologies in U.S. and international standards, and their strengths and weaknesses A discussion of the rationale for the choice of the uncertainty model, ISO or ASME An abbreviated approach to uncertainty estimation An improved accumulation of the important equations in uncertainty analysis

This edition also focuses on:

Basics of the measurement uncertainty model Nonsymmetrical, systematic standard uncertainties Random standard uncertainties; the use of correlation Curve-fitting problems Probability plotting Combining results from different test methods Calibration errors Uncertainty propagation for both independent and dependent error sources

The author draws on years of experience in the industry to direct special attention to the problem of developing confidence in uncertainty analysis results and using measurement uncertainty to select instrumentation systems.
Preface xi
Unit 1 Introduction and Overview
3(8)
1.1 Course Coverage
3(1)
1.2 Purpose
3(1)
1.3 Audience and Prerequisites
4(1)
1.4 Study Material
4(1)
1.5 Organization and Sequence
5(1)
1.6 Course Objectives/Learning Objectives
5(1)
1.7 Course Length
6(1)
1.8 Additional Study/Computational Aids
6(5)
Unit 2 Fundamentals of Measurement Uncertainty Analysis
11(32)
2.1 The Purpose of Engineering, Experimental, or Test Measurements
11(2)
2.2 Measurement Error Definition
13(23)
2.3 Summary
36(1)
2.4 References
36(2)
2.5 Exercises
38(5)
Unit 3 The Measurement Uncertainty Model
43(34)
3.1 The Statement of Measurement Uncertainty
43(1)
3.2 Grouping and Categorizing Error Sources
44(3)
3.3 The Calculation of Measurement Uncertainty (Symmetrical Systematic Uncertainties)
47(6)
3.4 The Uncertainty Statement (Symmetrical Systematic Standard Uncertainties)
53(4)
3.5 Computing the Uncertainty Interval (Symmetrical Systematic Uncertainty)
57(2)
3.6 The Calculation of Measurement Uncertainty (Nonsymmetrical Standard Systematic Uncertainties)
59(5)
3.7 Common Uncertainty Model Summary
64(3)
3.8 Detailed Experiment---Temperature---Without any Uncertainty Propagation
67(4)
3.9 Summary
71(1)
3.10 References
71(2)
3.11 Exercises
73(4)
Unit 4 How To Do It Summary
77(52)
4.1 Review of Nomenclature
77(2)
4.2 How To Do It Summary
79(1)
4.3 Calculation of Random Standard Uncertainties
79(5)
4.4 Obtaining and Combining Systematic Standard Uncertainties
84(6)
4.5 Nonsymmetrical Systematic Standard Uncertainties
90(1)
4.6 Step-by-Step Instructions
91(3)
4.7 Treatment of Calibration Errors (Uncertainties)
94(2)
4.8 Simplified Uncertainty Analysis for Calibrations
96(12)
4.9 Interplay of Random and Systematic Effects on an Uncertainty Analysis
108(4)
4.10 Business Decisions and the Impact of Measurement Uncertainty
112(4)
4.11 The Timing of an Uncertainty Analysis
116(4)
4.12 Conclusion
120(1)
4.13 References
120(1)
4.14 Exercises
120(9)
Unit 5 Uncertainty (Error) Propagation
129(52)
5.1 General Considerations
129(1)
5.2 The Need for Uncertainty Propagation
130(1)
5.3 Theoretical Considerations: Methods for Uncertainty Propagation
131(14)
5.4 Uncertainty Propagation Examples
145(17)
5.5 Detailed Equation for Uncertainty Propagation
162(1)
5.6 Uncertainty of Results Derived from X-Y Plots
162(4)
5.7 Class Experiment---Weighing---Requiring Uncertainty Propagation
166(6)
5.8 Summary
172(1)
5.9 References
173(1)
5.10 Exercises
174(7)
Unit 6 Weighting Method for Multiple Results
181(12)
6.1 The Purpose of Multiple Measurements of the Same Test Result
181(1)
6.2 Fundamentals of Weighting by Uncertainty
181(8)
6.3 References
189(1)
6.4 Exercises
189(4)
Unit 7 Applied Considerations
193(38)
7.1 General Considerations
193(1)
7.2 Choice of Error (and Uncertainty) Units
194(2)
7.3 Treatment of Outliers
196(3)
7.4 Curve Fitting
199(11)
7.5 Correlation Coefficients: Their Use and Misuse
210(2)
7.6 Tests for Normality, Probability Plots
212(5)
7.7 Sampling Error
217(5)
7.8 Selecting Instrumentation Based on Vendor Uncertainty Statements
222(2)
7.9 References
224(1)
7.10 Exercises
225(6)
Unit 8 Presentation of Results
231(8)
8.1 General Considerations
231(1)
8.2 Presentation Content
232(1)
8.3 Illustration
232(4)
8.4 Summary
236(3)
Appendix A Suggested Reading and Study Materials 239(6)
Appendix B Glossary 245(8)
Appendix C Nomenclature 253(8)
Appendix D Student's t for 95% Confidence 261(4)
Appendix E 5% Significant Thompson's 265(4)
Appendix F Areas Under the Normal Curve 269(4)
Appendix G Pressure Instrumentation Selection Example 273(14)
Appendix H Alternate Measurement Uncertainty Analysis Approach 287(4)
Appendix I Key Words and Phrases in Uncertainty Analysis 291(6)
Appendix J Prime Equations for Standard Uncertainty Analysis 297(8)
Appendix K Condensed Measurement Uncertainty 305(18)
Appendix L Discussion of the Advantages and Disadvantages of the Basic, the ISO, and the ASME Uncertainty Models 323(18)
Appendix M Solutions to All Exercises 341(20)
Appendix N Uncertainty Analysis Template 361(4)
Appendix O Prime Equations for Uncertainty Analysis 365(4)
Index 369
Ronald H. Dieck is an ISA Fellow and President of Ron Dieck Associates, Inc., an engineering consulting firm in Palm Beach Gardens, Florida. He possesses more than 35 years of experience in measurement uncertainty methods and applications for flow, temperature, pressure, gas analysis, and metrology, and the testing of instrumentation, temperature, thermocouples, air pollution, and gas analysis.