Measurement and Data Analysis for Engineering and Science, Second Edition
Purchasing Options
Features
- Covers the basics of experimentation, including types of experiments, units, and technical reporting
- Describes the hardware involved in experiments, such as electronics, measurement system components, system calibration, and system response
- Presents methods of data analysis that include probability, statistics, uncertainty analysis, regression and correlation, signal characterization, and signal analysis
- Incorporates historical perspectives on instruments and the people behind experimental methods
Pedagogical Features
- Contains a summary of problem topics in each chapter along with many homework problems
- Includes slides and other ancillary material for instructors on a CD-ROM
- Offers appendices, errata, and MATLAB and data files on the author's web site
Solutions manual available upon qualifying course adoption
Summary
Presenting the fundamental tools of experimentation that are currently used by engineers and scientists, Measurement and Data Analysis for Engineering and Science, Second Edition covers the basics of experimentation, hardware of experiments, and methods of data analysis. It also offers historical perspectives throughout. Updating and reorganizing its popular predecessor, this second edition makes the text much easier to follow and enhances the presentation with electronic material.
New to the Second Edition
- Order of chapters now reflects the sequence of topics usually included in an undergraduate course
- Asterisked sections denote material not typically covered formally during lecture in an introductory undergraduate course
- More than 150 new problems, bringing the total to over 420 problems
- Supplementary website that provides unit conversions, learning objectives, review crossword puzzles and solutions, differential equation derivations, laboratory exercise descriptions, MATLAB® sidebars with M-files, and homework data files
Thorough and up to date, this edition continues to help students gain a fundamental understanding of the tools of experimentation. It discusses basic concepts related to experiments, measurement system components and responses, data analysis, and effective communication of experimental findings.
Ancillary materials for instructors are available on a CD-ROM and a solutions manual is available for qualifying instructors. More data available on www.nd.edu/~pdunn/www.text/measurements.html
Table of Contents
Experiments
Chapter Overview
Role of Experiments
The Experiment
Experimental Approach
Classification of Experiments
Electronics
Chapter Overview
Concepts and Definitions
Circuit Elements
RLC Combinations
Elementary DC Circuit Analysis
Elementary AC Circuit Analysis
Equivalent Circuits
Meters
Impedance Matching and Loading Error
Electrical Noise
Measurement Systems
Chapter Overview
Measurement System Elements
Sensors and Transducers
Amplifiers
Filters
Analog-to-Digital Converters
Example Measurement Systems
Calibration and Response
Chapter Overview
Static Response Characterization
Dynamic Response Characterization
Zero-Order System Dynamic Response
First-Order System Dynamic Response
Second-Order System Dynamic Response
Higher-Order System Dynamic Response
Numerical Solution Methods
Probability
Chapter Overview
Relation to Measurements
Sample versus Population
Plotting Statistical Information
Probability Density Function
Various Probability Density Functions
Central Moments
Probability Distribution Function
Probability Concepts
Statistics
Chapter Overview
Normal Distribution
Normalized Variables
Student’s t Distribution
Standard Deviation of the Means
Chi-Square Distribution
Pooling Samples
Hypothesis Testing
Design of Experiments
Factorial Design
Uncertainty Analysis
Chapter Overview
Uncertainty
Comparing Theory and Measurement
Uncertainty as an Estimated Variance
Systematic and Random Errors
Measurement Process Errors
Quantifying Uncertainties
Measurement Uncertainty Analysis
General Uncertainty Analysis
Detailed Uncertainty Analysis
Uncertainty Analysis Summary
Finite-Difference Uncertainties
Uncertainty Based upon Interval Statistics
Regression and Correlation
Chapter Overview
Least-Squares Approach
Least-Squares Regression Analysis
Linear Analysis
Regression Parameters
Confidence Intervals
Linear Correlation Analysis
Uncertainty from Measurement Error
Determining the Appropriate Fit
Signal Correlations in Time
Higher-Order Analysis
Multi-Variable Linear Analysis
Signal Characteristics
Chapter Overview
Signal Characterization
Signal Variables
Signal Statistical Parameters
Fourier Series of a Periodic Signal
Complex Numbers and Waves
Exponential Fourier Series
Spectral Representations
Continuous Fourier Transform
Continuous Fourier Transform Properties
Signal Analysis
Chapter Overview
Digital Sampling
Aliasing
Discrete Fourier Transform
Fast Fourier Transform
Amplitude Ambiguity
Windowing
Units and Significant Figures
Chapter Overview
English and Metric Systems
Systems of Units
SI Standards
Technical English and SI Conversion Factors
Prefixes
Significant Figures
Technical Communication
Chapter Overview
Guidelines for Writing
Technical Memo
Technical Report
Oral Technical Presentation
Appendix A: Glossary
Appendix B: Symbols
Appendix C: Review Problem Answers
Index
A Problem Topic Summary, Review and Homework Problems, and a Bibliography appear at the end of each chapter.
Author Bio(s)
Editorial Reviews
Praise for the First Edition
"… [This book] has many excellent features that distinguish it from its peers. It is well written with clear learning objectives stated for each chapter. … Using this text, students can start with no MATLAB or programming background and leave this course with the rudiments in hand. … if the focus of the class is to be on measurements, this book does an excellent job of taking a student from basic physics up to signal processing. … a welcome addition to the possibilities for biomedical measurements classes."
—IEEE Engineering in Medicine and Biology Magazine, November/December 2007
