Book description
Measurement and Data Analysis for Engineering and Science, Fourth Edition, provides up-to-date coverage of experimentation methods in science and engineering. This edition adds five new "concept chapters" to introduce major areas of experimentation generally before the topics are treated in detail, to make the text more accessible for undergraduate students. These feature Measurement System Components, Assessing Measurement System Performance, Setting Signal Sampling Conditions, Analyzing Experimental Results, and Reporting Experimental Results. More practical examples, case studies, and a variety of homework problems have been added; and MATLAB and Simulink resources have been updated.
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Table of Contents
- Preface
- Authors
- 1 Introduction to Experimentation
- I Planning an Experiment
-
II Identifying Components
- 4 Identifying Components - Overview
- 5 Fundamental Electronics
- 6 Measurement Systems: Sensors and Transducers
- Bibliography
- 7 Measurement Systems: Other Components
-
III Assessing Performance
- 8 Assessing Performance - Overview
- 9 Measurement Systems: Calibration and Response
- 10 Measurement Systems: Design-Stage Uncertainty
-
IV Setting Sampling Conditions
- 11 Setting Sampling Conditions - Overview
- 12 Signal Characteristics
-
13 The Fourier Transform
- 13.1 Fourier Series of a Periodic Signal
- 13.2 Complex Numbers and Waves
- 13.3 Exponential Fourier Series
- 13.4 Spectral Representations
- 13.5 Continuous Fourier Transform
- 13.6 Continuous Fourier Transform Properties*
- 13.7 Discrete Fourier Transform
- 13.8 Fast Fourier Transform
- 13.9 Problems
- Bibliography
- 14 Digital Signal Analysis
-
V Analyzing Data
- 15 Analyzing Results - Overview
- 16 Probability
- 17 Statistics
-
18 Uncertainty Analysis
- 18.1 Modeling and Experimental Uncertainties
- 18.2 Probabilistic Basis of Uncertainty
- 18.3 Identifying Sources of Error
- 18.4 Systematic and Random Errors
- 18.5 Quantifying Systematic and Random Errors
- 18.6 Measurement Uncertainty Analysis
- 18.7 Uncertainty Analysis of a Multiple-Measurement Result
- 18.8 Uncertainty Analysis for Other Measurement Situations
- 18.9 Uncertainty Analysis Summary
- 18.10 Finite-Difference Uncertainties*
- 18.11 Uncertainty Based upon Interval Statistics*
- 18.12 Problems
- Bibliography
-
19 Regression and Correlation
- 19.1 Least-Squares Approach
- 19.2 Least-Squares Regression Analysis
- 19.3 Linear Analysis
- 19.4 Higher-Order Analysis*
- 19.5 Multi-Variable Linear Analysis*
- 19.6 Determining the Appropriate Fit
- 19.7 Regression Confidence Intervals
- 19.8 Regression Parameters
- 19.9 Linear Correlation Analysis
- 19.10 Signal Correlations in Time*
- 19.11 Problems
- Bibliography
- VI Reporting Results
- Glossary
- Symbols
- Review Problem Answers
- Index
Product information
- Title: Measurement and Data Analysis for Engineering and Science, 4th Edition
- Author(s):
- Release date: December 2017
- Publisher(s): CRC Press
- ISBN: 9781351686396
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