Measurement and Data Analysis for Engineering and Science, 4th Edition

Measurement and Data Analysis for Engineering and Science, 4th Edition

by Patrick F Dunn, Michael P. Davis
Released December 2017
Publisher(s): CRC Press
ISBN: 9781351686396

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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

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Preface
  7. Authors
  8. 1 Introduction to Experimentation
    1. 1.1 A Famous Experiment
    2. 1.2 Phases of an Experiment
    3. 1.3 Example Experiments
    4. Bibliography
  9. I Planning an Experiment
    1. 2 Planning an Experiment - Overview
    2. 3 Experiments
      1. 3.1 Role of Experiments
      2. 3.2 The Experiment
      3. 3.3 Classification of Experiments
      4. 3.4 Plan for Successful Experimentation
      5. 3.5 Problems
      6. Bibliography
  10. II Identifying Components
    1. 4 Identifying Components - Overview
    2. 5 Fundamental Electronics
      1. 5.1 Concepts and Definitions
        1. 5.1.1 Charge
        2. 5.1.2 Current
        3. 5.1.3 Electric Force
        4. 5.1.4 Electric Field
        5. 5.1.5 Electric Potential
        6. 5.1.6 Resistance and Resistivity
        7. 5.1.7 Power
        8. 5.1.8 Capacitance
        9. 5.1.9 Inductance
      2. 5.2 Circuit Elements
        1. 5.2.1 Resistor
        2. 5.2.2 Capacitor
        3. 5.2.3 Inductor
        4. 5.2.4 Transistor
        5. 5.2.5 Voltage Source
        6. 5.2.6 Current Source
      3. 5.3 RLC Combinations
      4. 5.4 Elementary DC Circuit Analysis
        1. 5.4.1 Voltage Divider
        2. 5.4.2 Electric Motor with Battery
        3. 5.4.3 Wheatstone Bridge
      5. 5.5 Elementary AC Circuit Analysis
      6. 5.6 Equivalent Circuits*
      7. 5.7 Meters*
      8. 5.8 Impedance Matching and Loading Error*
      9. 5.9 Electrical Noise*
      10. 5.10 Problems
      11. Bibliography
    3. 6 Measurement Systems: Sensors and Transducers
      1. 6.1 The Measurement System
      2. 6.2 Sensor Domains
      3. 6.3 Sensor Characteristics
      4. 6.4 Physical Principles of Sensors
      5. 6.5 Electric
        1. 6.5.1 Resistive
        2. 6.5.2 Capacitive
        3. 6.5.3 Inductive
      6. 6.6 Piezoelectric
      7. 6.7 Fluid Mechanic
      8. 6.8 Optic
      9. 6.9 Photoelastic
      10. 6.10 Thermoelectric
      11. 6.11 Electrochemical
      12. 6.12 Sensor Scaling*
      13. 6.13 Problems
    4. Bibliography
    5. 7 Measurement Systems: Other Components
      1. 7.1 Signal Conditioning, Processing, and Recording
      2. 7.2 Amplifiers
      3. 7.3 Filters
      4. 7.4 Analog-to-Digital Converters
      5. 7.5 Smart Measurement Systems
        1. 7.5.1 Sensors and Microcontroller Platforms
        2. 7.5.2 Arduino Microcontrollers
        3. 7.5.3 Wireless Transmission of Data
        4. 7.5.4 Using the MATLAB Programming Environment
        5. 7.5.5 Examples of Arduino Programming using Simulink
      6. 7.6 Other Example Measurement Systems
      7. 7.7 Problems
      8. Bibliography
  11. III Assessing Performance
    1. 8 Assessing Performance - Overview
    2. 9 Measurement Systems: Calibration and Response
      1. 9.1 Static Response Characterization by Calibration
      2. 9.2 Dynamic Response Characterization
      3. 9.3 Zero-Order System Dynamic Response
      4. 9.4 First-Order System Dynamic Response
        1. 9.4.1 Response to Step-Input Forcing
        2. 9.4.2 Response to Sinusoidal-Input Forcing
      5. 9.5 Second-Order System Dynamic Response
        1. 9.5.1 Response to Step-Input Forcing
        2. 9.5.2 Response to Sinusoidal-Input Forcing
      6. 9.6 Combined-System Dynamic Response
      7. 9.7 Problems
      8. Bibliography
    3. 10 Measurement Systems: Design-Stage Uncertainty
      1. 10.1 Design-Stage Uncertainty Analysis
      2. 10.2 Design-Stage Uncertainty Estimate of a Measurand
      3. 10.3 Design-Stage Uncertainty Estimate of a Result
      4. 10.4 Problems
      5. Bibliography
  12. IV Setting Sampling Conditions
    1. 11 Setting Sampling Conditions - Overview
    2. 12 Signal Characteristics
      1. 12.1 Signal Classification
      2. 12.2 Signal Variables
      3. 12.3 Signal Statistical Parameters
      4. 12.4 Problems
      5. Bibliography
    3. 13 The Fourier Transform
      1. 13.1 Fourier Series of a Periodic Signal
      2. 13.2 Complex Numbers and Waves
      3. 13.3 Exponential Fourier Series
      4. 13.4 Spectral Representations
      5. 13.5 Continuous Fourier Transform
      6. 13.6 Continuous Fourier Transform Properties*
      7. 13.7 Discrete Fourier Transform
      8. 13.8 Fast Fourier Transform
      9. 13.9 Problems
      10. Bibliography
    4. 14 Digital Signal Analysis
      1. 14.1 Digital Sampling
      2. 14.2 Digital Sampling Errors
        1. 14.2.1 Aliasing
        2. 14.2.2 Amplitude Ambiguity
      3. 14.3 Windowing*
      4. 14.4 Determining a Sample Period
      5. 14.5 Problems
      6. Bibliography
  13. V Analyzing Data
    1. 15 Analyzing Results - Overview
    2. 16 Probability
      1. 16.1 Basic Probability Concepts
        1. 16.1.1 Union and Intersection of Sets
        2. 16.1.2 Conditional Probability
        3. 16.1.3 Sample versus Population
        4. 16.1.4 Plotting Statistical Information
      2. 16.2 Probability Density Function
      3. 16.3 Various Probability Density Functions
        1. 16.3.1 Binomial Distribution
        2. 16.3.2 Poisson Distribution
      4. 16.4 Central Moments
      5. 16.5 Probability Distribution Function
      6. 16.6 Problems
      7. Bibliography
    3. 17 Statistics
      1. 17.1 Normal Distribution
      2. 17.2 Normalized Variables
      3. 17.3 Student’s t Distribution
      4. 17.4 Rejection of Data
        1. 17.4.1 Single-Variable Outlier Determination
        2. 17.4.2 Paired-Variable Outlier Determination
      5. 17.5 Standard Deviation of the Means
      6. 17.6 Chi-Square Distribution
        1. 17.6.1 Estimating the True Variance
        2. 17.6.2 Establishing a Rejection Criterion
        3. 17.6.3 Comparing Observed and Expected Distributions
      7. 17.7 Pooling Samples*
      8. 17.8 Hypothesis Testing*
        1. 17.8.1 One-Sample t-Test
        2. 17.8.2 Two-Sample t-Test
      9. 17.9 Design of Experiments*
      10. 17.10 Factorial Design*
      11. 17.11 Problems
      12. Bibliography
    4. 18 Uncertainty Analysis
      1. 18.1 Modeling and Experimental Uncertainties
      2. 18.2 Probabilistic Basis of Uncertainty
      3. 18.3 Identifying Sources of Error
      4. 18.4 Systematic and Random Errors
      5. 18.5 Quantifying Systematic and Random Errors
      6. 18.6 Measurement Uncertainty Analysis
      7. 18.7 Uncertainty Analysis of a Multiple-Measurement Result
      8. 18.8 Uncertainty Analysis for Other Measurement Situations
      9. 18.9 Uncertainty Analysis Summary
      10. 18.10 Finite-Difference Uncertainties*
        1. 18.10.1 Derivative Approximation*
        2. 18.10.2 Integral Approximation*
        3. 18.10.3 Uncertainty Estimate Approximation*
      11. 18.11 Uncertainty Based upon Interval Statistics*
      12. 18.12 Problems
      13. Bibliography
    5. 19 Regression and Correlation
      1. 19.1 Least-Squares Approach
      2. 19.2 Least-Squares Regression Analysis
      3. 19.3 Linear Analysis
      4. 19.4 Higher-Order Analysis*
      5. 19.5 Multi-Variable Linear Analysis*
      6. 19.6 Determining the Appropriate Fit
      7. 19.7 Regression Confidence Intervals
      8. 19.8 Regression Parameters
      9. 19.9 Linear Correlation Analysis
      10. 19.10 Signal Correlations in Time*
        1. 19.10.1 Autocorrelation*
        2. 19.10.2 Cross-Correlation*
      11. 19.11 Problems
      12. Bibliography
  14. VI Reporting Results
    1. 20 Reporting Results - Overview
    2. 21 Units and Significant Figures
      1. 21.1 English and Metric Systems
      2. 21.2 Systems of Units
      3. 21.3 SI Standards
      4. 21.4 Technical English and SI Conversion Factors
        1. 21.4.1 Length
        2. 21.4.2 Area and Volume
        3. 21.4.3 Density
        4. 21.4.4 Mass and Weight
        5. 21.4.5 Force
        6. 21.4.6 Work and Energy
        7. 21.4.7 Power
        8. 21.4.8 Light Radiation
        9. 21.4.9 Temperature
        10. 21.4.10 Other Properties
      5. 21.5 Prefixes
      6. 21.6 Significant Figures
      7. 21.7 Problems
      8. Bibliography
    3. 22 Technical Communication
      1. 22.1 Guidelines for Writing
        1. 22.1.1 Writing in General
        2. 22.1.2 Writing Technical Memoranda
        3. 22.1.3 Number and Unit Formats
        4. 22.1.4 Graphical Presentation
      2. 22.2 Technical Memo
      3. 22.3 Technical Report
      4. 22.4 Oral Technical Presentation
      5. 22.5 Problems
      6. Bibliography
  15. Glossary
  16. Symbols
  17. Review Problem Answers
  18. Index

Product information

  • Title: Measurement and Data Analysis for Engineering and Science, 4th Edition
  • Author(s): Patrick F Dunn, Michael P. Davis
  • Release date: December 2017
  • Publisher(s): CRC Press
  • ISBN: 9781351686396